Dissertations / Theses: 'Artificial Intelligence technology'

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Malmborn, Albin, and Linus Sjöberg. "Implementing Artificial intelligence." Thesis, Malmö universitet, Fakulteten för teknik och samhälle (TS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20942.

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Den här uppsatsen har som syfte att undersöka huruvida det är möjligt att ta fram riktlinjer för vad privata verksamheter behöver ta i beaktande inför en planerad implementering av artificiell intelligens. Studien kommer belysa faktorer som hjälper företag att förstå vad som krävs inför en sådan omställning, men även de hinder som måste övervinnas för att lyckas. Studiens datainsamling har genomförts med två metoder, först en litteraturstudie sedan kvalitativa, semistrukturerade forskningsintervjuer. Dessa har sedan analyserats med vars en analysmetod som kompletterar varandra och därefter tolkats för att se mönster som kan besvara studiens frågeställning: Vad måste svenska organisationer inom den privata sektorn beakta för att lyckas implementera Artificiell intelligens i sin verksamhet? Resultatet har tagits fram genom att jämföra vetenskapliga texter och intervjuer, för att undersöka om den akademiska och praktiska synen skiljer sig åt. Studien resulterade i åtta faktorer som företag borde ta i beaktning inför en implementering av artificiell intelligens. Författarna hoppas att med den här studien kunna främja svensk utveckling inom artificiell intelligens och på så vis generera ett större nationellt mervärde och en starkare konkurrenskraft internationell.
The purpose of this paper is to investigate the possibilities to develop guidelines for businesses to take into account before an implementation of artificial intelligence. The study will highlight different factors that will help companies to understand what is required to make this kind of digital transition, it will also highlight the obstacles companies have to overcome in order to succeed. The data collection was conducted in two parts, first a literature study and then qualitative, semi-structured interviews. These were analyzed with their own analysis which supplement each other, and interpreted to identify patterns that could answer the study's main question: What must Swedish organizations in the private sector consider in order to successfully implement Artificial Intelligence in their operations?The result of the study has been produced by comparing scientific texts and interviews, to investigate whether the academic and practical views differ. The study resulted in eight factors that companies should consider before implementing artificial intelligence. The authors hope that the study will promote Swedish development in artificial intelligence and thus generate a greater national value and international competitiveness.

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Damerji, Hassan. "Technology Readiness Impact on Artificial Intelligence Technology Adoption by Accounting Students." Thesis, University of La Verne, 2020. http://pqdtopen.proquest.com/#viewpdf?dispub=27547476.

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Artificial Intelligence (AI) is the way forward in accounting and auditing. The purpose of this study was to examine the relationship between accounting students’ level of technology readiness (TR) and AI technology adoption (TA). This quantitative study examined the independent variables of TR, perceived ease of use (PEOU), and perceived usefulness (PU) and the dependent variable of TA. Moreover, the present study examined the mediating effect of PEOU and PU on the relationship between TR and TA. The present study was related to individual accounting students’ perceptions of TR and TA. Student participants (n = 101) recruited for this study were randomly sampled from 2 universities in Southern California, the United States. An online questionnaire consisting of 30 items regarding perceptions of TR, PEOU, PU, and TA was administered. The bivariate correlation and regression between variables showed that TR, PEOU, and PU positively influence TA; TR positively influences PEOU and PU; and PEOU positively influences PU. Mediation analysis showed that both PEOU and PU mediate the relationship between TR and TA. Because of the significant relationships among variables, the model met the criteria for technology readiness and acceptance model (TRAM) and Model 6 of process mediation. This study adds to the empirical research regarding the relationships between the constructs of TR and TA of AI within higher education, in which there is a gap in the literature. The study contributed by applying the TRAM construct to the use and adoption of AI. TR, PEOU, and PU are important constructs within higher education and predict AI TA by accounting students. Additionally, TR is a precursor to PEOU and PU of AI for this population. For practice, universities should enhance use perceptions by creating opportunities for accounting students to interact with AI. Effective adoption of AI in accounting curricula aimed at enhancing students’ perceptions is essential to increase their adoption of AI and overall career readiness. For research, replicating the study at other universities, examining other factors that influence students’ adoption of AI, and exploring other AI topics in higher education could expand the literature on technology readiness and TA of AI.

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McBrien, Andrew. "Artificial intelligence methods in process plant layout." Thesis, University of Nottingham, 1994. http://eprints.nottingham.ac.uk/14403/.

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The thesis describes "Plant Layout System" or PLS, an Expert System which automates all aspects of conceptual layout of chemical process plant, from sizing equipment using process data to deriving the equipment items' elevation and plan positions. PLS has been applied to a test process of typical size and complexity and which encompasses a wide range of layout issues and problems. The thesis presents the results of the tests to show that PLS generates layouts that are entirely satisfactory and conventional from an engineering viewpoint. The major advance made during this work is the approach to layout by Expert System of any kind of process plant. The thesis describes the approach in full, together with the engineering principles which it acknowledges. Plant layout problems are computationally complex. PLS decomposes layout into a sequence of formalised steps and uses a powerful and sophisticated technique to reduce plant complexity. PLS uses constraint propagation for spatial synthesis and includes propagation algorithms developed specifically for this domain. PLS includes a novel qualitative technique to select constraints to be relaxed. A conventional frame based representation was found to be appropriate, but with procedural knowledge recorded in complex forward chaining rules with novel features. Numerous examples of the layout engineer's knowledge are included to elucidate the epistemology of the domain.

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Fyrvald, Johanna. "Mitigating algorithmic bias in Artificial Intelligence systems." Thesis, Uppsala universitet, Matematiska institutionen, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-388627.

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Artificial Intelligence (AI) systems are increasingly used in society to make decisions that can have direct implications on human lives; credit risk assessments, employment decisions and criminal suspects predictions. As public attention has been drawn towards examples of discriminating and biased AI systems, concerns have been raised about the fairness of these systems. Face recognition systems, in particular, are often trained on non-diverse data sets where certain groups often are underrepresented in the data. The focus of this thesis is to provide insights regarding different aspects that are important to consider in order to mitigate algorithmic bias as well as to investigate the practical implications of bias in AI systems. To fulfil this objective, qualitative interviews with academics and practitioners with different roles in the field of AI and a quantitative online survey is conducted. A practical scenario covering face recognition and gender bias is also applied in order to understand how people reason about this issue in a practical context. The main conclusion of the study is that despite high levels of awareness and understanding about challenges and technical solutions, the academics and practitioners showed little or no awareness of legal aspects regarding bias in AI systems. The implication of this finding is that AI can be seen as a disruptive technology, where organizations tend to develop their own mitigation tools and frameworks as well as use their own moral judgement and understanding of the area instead of turning to legal authorities.

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Nilsson, Daniel. "Artificial Intelligence for detecting IoT data intrusions." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-424095.

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The importance of the Internet of Things (IoT) continues to grow in modern society,yet it remains relatively vulnerable to data intrusion attacks. These attacks can compromise both the IoT networks them selves and the services that rely on them.This work explores a number of artificial intelligence solutions for their viability in intrusion detection within the IoT. The Bayesian Network, Artificial Neural Networkand Support Vector Machine are judged to have the most potential. A traditional three-layer Artificial Neural Network is tested in practice, using roundtrip time and power consumption data to explore different parameters. An overall accuracy of 94%is achieved with only 1% false positive ratio, with a data window of 9 or morereadings and a data ratio of a few times more non-attack data than attack data. It is concluded that Neural Networks are viable for use in the field of IoT intrusiondetection.

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Güler, Dilvan, and Mohamed Mahdi. "A Systematic Mapping Study on APIs Utilizing Artificial Intelligence Technology." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-300093.

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This thesis covers the systematic mapping of established public Application Programming Interface (API)s that are employing the Artificial Intelligence (AI) technology. This due to the fact that the problem has been the lack of systematic maps of AI APIs in the present time, therefore this thesis has the purpose of increasing the insight in the area by creating the mapping study. The goal is to provide both a basis for research and to aid the general developer which uses the AI APIs. The systematic mapping of the AI APIs will be conducted by examining the information of the APIs and iterations classifying the AI APIs into categories and presented in tables. The analysis and discussion of the study was made based on the results from the study, namely the phases, the iterations, the result tables and the final systematic map. Additionally, an analysis was made on the validity threats of the study. The evaluation of each API in this study was done in cycles, by categorizing each AI API into a category that is included in the final result, which is a systematic map. The result has been proven to be useful for the target group of this study, the researchers and developers, by aiding them in finding the right API for them to use in their work. Therefore, this work will help future developers and researchers due to the fact that the thesis is providing relevant information in the development phases of employing AI in the web interfaces at the present time.
Detta examensarbete omfattar en systematisk kartläggning av etablerade publika API:er som använder sig utav AI- teknik. Eftersom bristen på systematiska kartor över AI API:er varit stor, har detta examensarbete syfte att öka insikten i området genom att skapa denna kartläggningsstudie. Målet med den systematiska kartläggningen är att bygga en grund för framtida forskning inom detta område, samt förenkla processen av att hitta AI API:erna för den allmänna utvecklaren som använder dessa. Den systematiska kartläggningen av AI API:er kommer att genomföras genom att undersöka tillgänglig dokumentation och information om API:erna. Dessutom klassificerades AI API:erna i kategorier, och presenterades sedan i tabeller. Analysen och diskussionen av studien gjordes baserat på resultaten från studien, nämligen faserna och iterationerna där AI API:erna kategoriseras, samt på resultat tabellerna och den slutliga systematiska kartan på AI API:erna. Dessutom gjordes en analys av hoten mot studiens giltighet. Utvärderingen av varje API i denna studie gjordes i cykler genom att kategorisera varje AI API i en kategori som sedan inkluderades i resultatet vilket är en systematiska karta. Resultatet från detta examensarbete har visat sig vara användbar för målgruppen, forskare och utvecklare, då det hjälper målgruppen att hitta rätt API att använda i arbetet.

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Kang, Johan, and Sebastian Westskytte. "Diffusion of Cybersecurity Technology - Next Generation, Powered by Artificial Intelligence." Thesis, KTH, Industriell ekonomi och organisation (Inst.), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-246027.

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The cyber world is growing as more information is converted from analogue to digital form. While convenience has been the main driver for this change little effort has been made on securing the data. Data breaches are growing in number and each breach is growing in severity. Combined with regulatory pressure organizations are starting to realize the importance of security. The increased threat level is also driving the security market for more potent solutions and artificial intelligence (AI) have in recent years been implemented to enhance the capabilities of security technologies. The thesis aims to investigate the adoption of AI enabled cybersecurity technologies within the financial industry which is often perceived as the market leader regarding security. Using a qualitative method through a multiple case study, valuable insights were gained regarding how firms are working with security and what needs they have. To identify factors that influence the rate of diffusion of AI enabled security technologies the diffusion of innovation theory combined with the TOE framework was used in this study. The thesis has contributed to the field of innovation management by enriching an area within IT innovation management by bridging the gap between security innovation and AI innovation. The study revealed that environmental factors, such as regulations and threat landscape, are forcing organizations to take action and control both how organizations work with security but also what technological attributes are perceived as advantageous. Detection and automation are two technological attributes that the companies are looking for to fill their needs. AI solutions are already being implemented to increase detection and automation we believe that the rate of adoption for AI enabled security innovation will only continue to grow. The results and findings contribute to an expanded understanding on the factors that affect adoption of AI security innovations within the financial industry.
Den digitala världen fortsätter att växa eftersom mer information omvandlas från analog till digital form. Medan bekvämlighet har varit den viktigaste drivkraften för denna förändring, så har lite ansträngning gjorts för att säkra upp den data som företagen besitter. Dataintrången växer i antal, och varje ny incident får allvarligare konsekvenser än den förra. Detta faktum kombinerat med strängare regelverk har fått företagen att inse vikten av att säkra sin miljö. Den förstärkta hotbilden driver också säkerhetsmarknaden framåt med nya lösningar, och artificiell intelligens (AI) har under de senaste åren i allt större utsträckning implementerats i säkerhetslösningar för att förstärka skyddet. Uppsatsens syfte är att undersöka spridningen av AI-säkerhetsinnovationer inom finansbranschen, som ofta uppfattas som marknadsledande när det gäller säkerhet. Med hjälp av en kvalitativ metod genom en fallstudie på tre företag erhölls värdefulla insikter om hur företagen arbetar med säkerhet och vilka behov de har. För att identifiera faktorer som påverkar spridningshastigheten för AI-säkerhetslösningar användes ”diffusion of innovation”-teorin i kombination med TOE-ramverket i denna studie. Uppsatsen har bidragit till innovation management-området genom att berika ett område inom IT-innovation genom att brygga mellan säkerhetsinnovation och AI-innovation. Studien visade att miljöfaktorer, såsom regelverk och hotbild, kontrollerar både hur organisationer arbetar med säkerhet och vilka tekniska egenskaper som uppfattas som fördelaktiga. Detektion och automatisering är två tekniska egenskaper som företagen har stora behov av. AI-lösningar implementeras redan för att öka de egenskaperna. Vi argumenterar för att, utifrån de behoven som företagen har kombinerat med miljöfaktorerna, kommer spridningstakten att öka för AI-säkerhetsinnovation.

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Kansu, Hazal Mine. "Artificial intelligence impact on occupations and workforce." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/124594.

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Thesis: S.M. in Technology and Policy, Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society, 2019
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 72-76).
Recent developments in machine learning (ML) have persuaded researchers that automated technologies without human intervention may transform occupations across the economy. My research seeks to assess how and where ML will affect the workforce. I extend the ideas of Brynjolfsson, Mitchell, and Rock (2018), who assess each task in the economy for its Suitability for Machine Learning (SML). This paper builds on their summary statistics to provide a more detailed analysis of where ML is likely to have its greatest impact in the economy. Combining their technological suitability data with labor market data, this paper suggests a policy model for better planning labor mobility and allocation of human resources in the face of upcoming technological changes.
by Hazal Mine Kansu.
S.M. in Technology and Policy
S.M.inTechnologyandPolicy Massachusetts Institute of Technology, School of Engineering, Institute for Data, Systems, and Society

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Incerti, Federica. "Preservice Teachers’ Perceptions of Artificial Intelligence Tutors for Learning." Ohio University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1585088861453228.

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Luwes, Nicolaas Johannes. "Artificial intelligence machine vision grading system." Thesis, Bloemfontein : Central University of Technology, Free State, 2014. http://hdl.handle.net/11462/35.

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Blanco, Ana Paula. "Artificial intelligence and the consumer packaged goods supply chain." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/117958.

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Thesis: S.M. in Management of Technology, Massachusetts Institute of Technology, Sloan School of Management, 2018.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 61-63).
This study explores how Goods (CPG) industry to what trends this industry supply chain in the next solutions in an attempt to of this technology. Artificial Intelligence (AI) will help the Consumer Packaged address the future challenges in its supply chain. It analyses is already exposed to, and the impacts of those trends in its five years. The work also explores examples of available Al match the demand generated by future trends with the supply The scope is limited to the CPG manufacturers with a bigger focus on planning and distribution rather than manufacturing, since these processes are present in any company with small variances. Other supply chain players such as material suppliers, retailers, distributors, third party logistics (3PL), etc. are covered at a high level since they are part of the network and influence the dynamic of the system.
by Ana Paula Blanco.
S.M. in Management of Technology

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Markou, Christopher Phillip Stephen. "Law and artificial intelligence : a systems-theoretical analysis." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/278977.

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Law and technology regularly conflict. The reasons for this are several and complex. Some conflicts are trivial and straightforwardly resolvable. Others, such as the creation of artificial minds, are not. History indicates that when law and technology conflict; both systems can adapt—often over periods of time—to new social circumstances and continue performing their societal functions. Simply: law and technology co-evolve. However, if the legal system is to retain its autonomous role in society, what are its adaptive limits in the context of profound, and perhaps unprecedented, technological changes? My thesis addresses the question of whether, and if so, to what extent, the legal system can respond to ‘conflicts’ with increasingly complex and legally problematic technological change. It draws on theories of legal and social evolution—particularly the Social Systems Theory (SST) of Niklas Luhmann—to explore the notion of a ‘lag’ in the legal system’s ability to respond to technological changes and ‘shocks’. It evaluates the claim that the legal system’s ‘lagged’ response to technological change is a deficit of its functioning. ‘Lag’ may be both good and bad. It allows the law to be self-referential while also limiting its effectiveness in controlling other sub-systems. Thus there is an implicit intersystemic trade-off. The hypothesis here: ‘lag’ is an endogenous legal advantage that helps to ensure the legal system’s autonomy, as well as the continuity of legal processes that help ameliorate potentially harmful or undesirable outcomes of science and technology on society and the individual. The legal system can adjust to technological change. However, it can only adjust its internal operations, which takes time and is constrained by the need to maintain legal autonomy—or in SST terms—sits autopoiesis. The signs of this adjustment are the conceptual evolution of legal concepts and processes related to new technological changes and risks, among other things. A close reading of Anglo-American legal history and jurisprudence supports this. While legal systems are comparatively inflexible in response to new technologies—due to doctrinal ossification and reliance upon precedent and analogy in legal reasoning—an alternative outcome is possible: the disintegration of the boundary between law and technology and the consequential loss of legal autonomy. The disintegration of this boundary would consequentially reduce society’s capacity to mediate and regulate technological change, thus diminishing the autopoiesis of the legal system. A change of this kind would be signalled by what some identify as the emergence of a technological ordering—or a ‘rule of technology’—displacing and potentially subsuming the rule of law. My thesis evaluates evidence for these two scenarios—the self-renewing capacity of the legal system, on the one hand, or its disintegration in response to technological change, on the other. These opposing scenarios are evaluated using a social ontological study of technology generally, and a case study using Artificial Intelligence (AI) specifically, to identify and predict the co- evolutionary dynamics of the law/technology relationship and assess the extent to which the legal system can shape, and be shaped by, technological change. In assessing this situation, this thesis explores the nature of AI, its benefits and drawbacks, and argues that its proliferation may require a corresponding shift in the fundamental mechanics of law. As AI standardises across industries and social sub-systems, centralised authorities such as government agencies, corporations, and indeed legal systems, may lose the ability to coordinate and regulate the activities of disparate persons through ex post regulatory means. Consequentially, there is a pressing need to understand not just how AI interfaces with existing legal frameworks, but how legal systems must pre-adapt to oncoming, and predominately unexplored, legal challenges. This thesis argues that AI is an autopoietic technology, and that there is thus a corresponding need to understand its intersystemic effects if there is to be an effective societal governance regime for it. This thesis demonstrates that SST provides us with the shared theoretical grammar to start and sustain this dialogue.

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Rock, Daniel Ian. "Essays on information technology, intangible capital, and the economics of artificial intelligence." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/123582.

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Thesis: Ph. D., Massachusetts Institute of Technology, Sloan School of Management, 2019
Cataloged from PDF version of thesis.
Includes bibliographical references.
This dissertation contains four essays concerning the economics of information technology, intangible capital, and artificial intelligence. In the first essay, "Engineering Value: The Returns to Technological Talent and Investments in Artificial Intelligence" I describe how firms can appropriate some of the value of their employees' human capital by assigning firm-specific tasks. I then use a database of employment records to document dynamics in the valuation of publicly traded firms as they relate to different types of employment, focusing especially on AI skills. The second essay, "The Productivity J-Curve: How Intangibles Complement General Purpose Technologies" (coauthored with Erik Brynjolfsson and Chad Syverson) addresses the concern that new technologies with wide applicability throughout the economy can cause both underestimation and overestimation of total factor productivity.
As capital is accumulated, intangible investment output, and therefore productivity growth, will be underestimated only to later generate a yield (at which point productivity growth will be overestimated). Presenting a theoretical description of how to use corporate valuations to recover hidden investment value, we discuss how productivity growth and levels can be adjusted to accommodate these changes. Implications for research and development, computer hardware, and computer software investments are considered. The third essay, "Machine Learning and Occupational Change" (coauthored with Erik Brynjolfsson and Tom Mitchell), develops and implements a method to measure the labor market impact potential of machine learning technologies. Tasks are evaluated for their Suitability for Machine Learning (SML). We find that few occupations can be fully automated with machine learning, but many occupations will potentially be redesigned.
The final essay, "Do Labor Demand Shifts Occur Within Firms or Across Them? Non-Routine-Biased Technological Change 2000-2016" (coauthored with Seth Benzell and Guillermo Lagarda) decomposes labor share shifts of occupational groups into changes between firms, within firms, and due to entry and exit. We find that within-firm compositional shifts are an important component of changes in the overall labor market. We also find that the rate of within-firm shifts has declined in the period from 2000 to 2016. Together, these essays offer insights into how artificial intelligence technologies, particularly machine learning, will impact the U.S. economy.
by Daniel Rock.
Chapter 1. Engineering Value: The Returns to Technological Talent and Investments in Artificial Intelligence -- Chapter 2. The Productivity J-Curve: How Intangibles Complement General Purpose Technologies -- Chapter 3. Machine Learning and Occupational Change -- Chapter 4. Do Labor Demand Shifts Occur Within Firms or Across Them? Non-Routine Biased Technological Change, 2000-2016.
Ph. D.
Ph.D. Massachusetts Institute of Technology, Sloan School of Management

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Vaux, Janet Heather. "Social and epistemological bases of technology transfer : the case of artificial intelligence." Thesis, Brunel University, 1999. http://bura.brunel.ac.uk/handle/2438/5505.

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This thesis addresses a problem in the literature on technology transfer of understanding the local appropriation of knowledge. Based on interpretive and analytic traditions developed in Science and Technology Studies (STS) and ethnomethodology, I conceptualise technology transfer as involving communication between discursive communities. I develop the idea of 'performance of community' to argue that explanations of research and technology, and readings of those explanations, are sites for the elaboration of the identity of a discursive community. I explore this approach through a case study in the field of artificial intelligence (AI). I focus on what I call 'explanatory practices', that is practices of describing, identifying and explaining Al, and trace the differences in these practices, according to location, context and audience. The novelty of my thesis is to show the pervasiveness of performance of community within these explanatory practices, through showing the differences in the claimed identity and significance of Al, associated with different locations, contexts and audiences. I draw out some of the implications of my approach by counterposing it to a theory of technology transfer as the passing of neutral units of information, which I argue is implicit in a complaint made by Al vendors that the Al marketplace had been damaged by overselling or hype. In particular, I show that disclaimers of hype (more than the perpetration of it) had always been associated with the marketing of Al. More generally, my claim is that it is politically important to understand that neutral information is not available even as an ultimate standard, and that the local appropriation of knowledge is not an aberration to be controlled, but a component of both successful and unsuccessful communication between discursive communities.

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Nilsson, Joakim, and Andreas Jonasson. "Using Artificial Intelligence for Gameplay Testing On Turn-Based Games." Thesis, Blekinge Tekniska Högskola, Institutionen för programvaruteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-16716.

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Background. Game development is a constantly evolving multi billion dollar in-dustry, and the need for quality products is very high. Testing the games however isa very time consuming and tedious task, often coming down to repeating sequencesuntil a requirement has been met. But what if some parts of it could be automated,handled by an artificial intelligence that can play the game day and night, givingstatistics about the gameplay as well as reports about errors that occurred duringthe session? Objectives. This thesis is done in cooperation with Fall Damage Studio AB, andaims to find and implement a suitable artificial intelligent agent to perform auto-mated test on a game Fall Damage Studio AB are currently developing, ProjectFreedom. The objective is to identify potential problems, benefits, and use casesof using a technique such as this. A secondary objective is to also identify what isneeded by the game for this kind of technique to be useful. Methods. To test the technique, aMonte-Carlo Tree Searchalgorithm was identi-fied as the most suitable algorithm and implemented for use in two different typesof experiments. The first being to evaluate how varying limitations in terms of thenumber of iterations and depth affected the results of the algorithm. This was doneto see if it was possible to change these factors and find a point where acceptablelevels of plays were achieved and further increases to these factors gave limited en-hancements to this level but increased the time. The second experiment aimed toevaluate what useful data can be extracted from a game, both in terms of gameplayrelated data as well as error information from crashes. Project Freedom was onlyused for the second test due to constraints that was out of scope for this thesis totry and repair. Results. The thesis has identified several requirements that is needed for a game touse a technique such as this in an useful way. For Monte-Carlo Tree Search specifi-cally, the game is required to have a gamestate that is quick to create a copy of anda game simulation that can be run in a short time. The game must also be testedfor the depth and iteration point that hit the point where the value of increasingthese values diminish. More generally, the algorithm of choice must be a part of thedesign process and different games might require different kind of algorithms to use.Adding this type of algorithm at a late stage in development, as was done for thisthesis, might be possible if precautions are taken. Conclusions. This thesis shows that using artificial intelligence agents for game-play testing is definitely possible, but it needs to be considered in the early part ofthe development process as no one size fits all approach is likely to exist. Differentgames will have their own requirements, some potentially more general for that typeof game, and some will be unique for that specific game. Thus different algorithmswill work better on certain types of games compared to other ones, and they willneed to be tweaked to perform optimally on a specific game.

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Dobrucki, Mikołaj. "Applications of Artificial Intelligence in Lighting Systems for Home Environments." Thesis, Malmö universitet, Fakulteten för kultur och samhälle (KS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-23548.

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Artificial Intelligence, being recently one of the most popular topics in technology, has been in a spotlight of Interaction Design for a long time. Despite its success in software and business-oriented cases, the adoption of Artificial Intelligence solutions in home environments still remains relatively low. This study reflects on the key reasons for the low penetration of AI-based solutions in private households and formulates design considerations for possible further developments in this area with a focus on artificial light sources. The design considerations are based on literature review and studies of multiple home environments gathered through qualitative interviews and context mapping exercises. Health influence of lighting, multi-user interactions, and privacy-related and ethical concerns are taken into account as the key factors. The considerations have been validated with participants of the study through user testing sessions of a digital prototype that virtualises a home environment and explores some of the common light usage scenarios. The study argues that despite multiple efforts in this direction during the past three decades, the future of Artificial Intelligence in connected, intelligent homes does not lie in smart, autonomous systems. Instead, Artificial Intelligence can be arguably used to simplify and contextualise interactions between humans and their home environments as well as foster the development of parametric solutions for private households.

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Chau, Michael, Hsinchun Chen, Jailun Qin, Yilu Zhou, Wai-Ki Sung, Mark Chen, Yi Qin, Daniel M. McDonald, and Ann M. Lally. "NanoPort: A Web Portal for Nanoscale Science and Technology." ACM/IEEE-CS, 2002. http://hdl.handle.net/10150/105926.

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Artificial Intelligence Lab, Department of MIS, University of Arizona
Areas related to nanotechnology, or nanoscale science and engineering (NSSE), have experienced tremendous growth over the past few years. While there are a large variety of useful resources available on the Web, such information are usually distributed and difficult to locate, resulting in the problem of information overload. To address the problem, we developed the NanoPort system, an integrated Web portal aiming to provide a one-stop shopping service to satisfy the information needs of researchers and practitioners in the field of NSSE [1]. We believe that the approaches taken also can be applied to other domains.

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Flognman, Elise, Emilia Grönlund, and Falk Maja Ticehurst. "Optimizing Warehouse Logistics with Artificial Intelligence : Market analysis." Thesis, Högskolan i Borås, Akademin för textil, teknik och ekonomi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-25565.

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This report is a part of a larger project with the aim of developing a proof-of-concept prototype. The project was started on the initiative of Company X and is a collaboration between them and the University of Borås. Company X are a logistics consultant firm specialized in warehousing operations. Through this project Company X hope to strengthen their standing on the market and offer their customers new and innovative solutions. The purpose of this project is to, with the assistance of AI, calculate in what cluster within a warehouse a product should be placed in order to create more efficient picking routes and to research the market in order to evaluate the business potential for this kind of service. This specific report aims to conduct a market analysis for the potential service. It will do so by conducting interviews and creating a theoretical framework consisting of relevant literature. When performing the market research and analysis of the potential IT-service there are a few limitations caused by a number of factors that could potentially affect the significance of the end result. The service is not yet developed and cannot be described in detail but only as an idea, which could make it difficult for the interview respondents to fully understand the service. The report will also be limited for certain practical reasons such as the Covid-19 pandemic. Because of this, the report has not had the opportunity to conduct the interviews with potential customers on site but have been conducted online, via link. The theoretical framework has two different main focus areas. The first area addresses basic warehouse logistics and difficulties in selling high technology products, while the second area includes marketing strategies and strategic marketing planning. The market analysis will consist of a SWOT-analysis and an STP-analysis. The report has concluded that the service has potential and suggests that company type B is the best suited potential customer. Personal and demand driven sales are also considered helpful factors when selling high-tech products and solutions.
Detta arbete är en del av ett större projekt med syftet att utveckla en proof-of-concept prototyp. Projektet, som är ett samarbete mellan ”Företag X” och Högskolan i Borås, startades på initiativ av Företag X. Företaget är specialiserat på logistiklösningar och lagerverksamhet. Förhoppningen med projektet från Företag X perspektiv är att stärka sin marknadsposition och kunna erbjuda sina kunder nya och innovativa lösningar. Projektets syfte är med hjälp av AI beräkna i vilket kluster inom ett lager en produkt ska placeras för att skapa effektivare plockrundor samt att undersöka marknaden för att kunna utvärdera affärspotentialen för denna typ av tjänst. Detta arbete syftar till att genomföra en marknadsanalys för den potentiella tjänsten som underlag för forskningsprojektet. Marknadsanalysen baseras på kvalitativa intervjuer med personer utvalda genom ett experturval samt ett teoretiskt ramverk. Marknadsanalysen har vissa begränsningar som potentiellt kan påverka resultatet. Bland annat det faktum att tjänsten inte är utvecklad än och därför bara kan beskrivas som idé vilket kan bidra till svårigheter för intervjurespondenterna att förstå tjänsten fullt ut. Även Covid-19 pandemin anses vara en begränsning rent praktiskt då intervjuerna inte har kunnat ske på plats utan har fått ske digitalt istället. Det teoretiska ramverket har två huvudfokus, det ena berör lagerlogistik och svårigheter med att sälja högteknologiska produkter medan det andra behandlar marknadsföringsstrategier och strategisk marknadsplanering. Marknadsanalysen består av en SWOT-analys och en STP-analys. Arbetet har kommit fram till att tjänsten har potential och föreslår företagstyp B som den mest optimala kunden att rikta försäljning av denna typ av tjänster mot. Personlig och efterfrågestyrd försäljning anses vara viktiga aspekter av försäljning av högteknologiska produkter och tjänster.

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Huang, Zan, Hsinchun Chen, Alan Yip, Gavin Ng, Fei Guo, Zhi-Kai Chen, and Mihail C. Roco. "Longitudinal patent analysis for nanoscale science and engineering: Country, institution and technology field." Kluwer, 2003. http://hdl.handle.net/10150/105834.

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Artificial Intelligence Lab, Department of MIS, University of Arizona
Nanoscale science and engineering (NSE) and related areas have seen rapid growth in recent years. The speed and scope of development in the field have made it essential for researchers to be informed on the progress across different laboratories, companies, industries and countries. In this project, we experimented with several analysis and visualization techniques on NSE-related United States patent documents to support various knowledge tasks. This paper presents results on the basic analysis of nanotechnology patents between 1976 and 2002, content map analysis and citation network analysis. The data have been obtained on individual countries, institutions and technology fields. The top 10 countries with the largest number of nanotechnology patents are the United States, Japan, France, the United Kingdom, Taiwan, Korea, the Netherlands, Switzerland, Italy and Australia. The fastest growth in the last 5 years has been in chemical and pharmaceutical fields, followed by semiconductor devices. The results demonstrate potential of information-based discovery and visualization technologies to capture knowledge regarding nanotechnology performance, transfer of knowledge and trends of development through analyzing the patent documents.

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20

Bellman, Markus, and Gustav Göransson. "Intelligent Process Automation : Building the bridge between Robotic Process Automation and Artificial Intelligence." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-263090.

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Process Automation has the potential to yield great benefits for companies and organizations, especially in the financial services industry where companies are information-intensive and experience rich data flows. This has mostly been done through Robotic Process Automation (RPA), but the increased maturity of Machine Learning algorithms has increased the viability of combining classic RPA with Artificial Intelligence, leading to Intelligent Process Automation (IPA). However, there is a set of challenges embedded in the transition from RPA to IPA. These challenges need to be dealt with in order to ensure that the benefits of the new technology can be harvested. The aim of this research was to identify this set of challenges that the companies will face, as well as provide guidance to what preparations that need to be made before IPA can be implemented in full scale. The research was conducted as a theory building case study at a large Swedish bank. An empirical study was conducted, consisting of interviews with researchers, as well as automation professionals and R&D at the case company. The findings of the empirical study and previous research on the area were combined and condensed into a guiding framework for organizations wanting to adopt IPA.
Processautomation har potentialen att ge stora fördelar för företag och organisationer, speciellt i finansbranschen där företag är informationsintensiva och har stora dataflöden. Detta har huvudsakligen gjorts med Robotic Process Automation (RPA) men den ökade mognadsgraden av maskininlärning har snabbt förbättrat möjligheten att kombinera RPA med Artificiell Intelligens (AI) för att därmed möjliggöra Intelligent Process Automation (IPA). I övergången från RPA till IPA uppkommer däremot en del utmaningar och problem som företag måste hanteras innan potentialen med dessa nya tekniker kan förverkligas. Den här forskningen ämnar att identifiera de utmaningar som företagen kommer ställas inför samt ge vägledning för vilka förberedelser som företagen måste genomföra innan IPA kan implementeras fullskaligt i organisationen. Forskningen genomfördes som en teoribyggande fallstudie på en stor svensk bank. Den teoretiska grunden samlades in genom en omfattande litteraturstudie och en empirisk studie bestående av intervjuer med forskare samt automationsutvecklare och FoU på banken. Resultaten från litteraturstudien och empirin kombinerades och kondenserades till ett vägvisande ramverk för organisationer som vill implementera IPA.

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Stillman, Brandi. "Implementation of Artificial Intelligence to Improve Novice Drivers' Hazard Perception Skills." Youngstown State University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1391434946.

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22

Piloidis, Loukas. "Ethics in Artificial Intelligence : How Relativism is Still Relevant." Thesis, Södertörns högskola, Medie- och kommunikationsvetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-41760.

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This essay tries to demarcate and analyse Artificial Intelligence ethics. Going away from the traditional distinction in normative, meta, and applied ethics, a different split is executed, inspired by the three most prominent schools of thought: deontology, consequentialism, and Aristotelian virtue ethics. The reason behind this alternative approach is to connect all three schools back to ancient Greek philosophy. Having proven that the majority of arguments derive from some ancient Greek scholars (Socrates, Plato, Aristotle), a new voice is initiated into the discussion, Protagoras the Sophist. A big advocate of -the later conceived- humanism and relativism, Protagoras is used as a prism to examine a new ethical model that is based on the personalization of agents. In other words, even though theories of objectivity have overflown contemporary discussions of finding a robust ethical model for Artificial Intelligence agents, there is potential in a subjective model, personalised after each and every user.

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Taylor, Richard Paul. "An artificial intelligence framework for experimental design and analysis in discrete event simulation." Thesis, University of Warwick, 1988. http://wrap.warwick.ac.uk/109868/.

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Simulation studies cycle through the phases of formulation, programming, verification and validation, experimental design and analysis, and implementation. The work presented has been concerned with developing methods to enhance the practice and support for the experimental design and analysis phase of a study. The investigation focussed on the introduction of Artificial Intelligence (AI) techniques to this phase, where previously there existed little support. The reason for this approach was the realisation that the experimentation process in a simulation study can be broken down into a reasoning component and a control of execution component. In most studies, a user would perform both of these. The involvement of a reasoning process attracted the notion of artificial intelligence or at least the prospective use of its techniques. After a study into the current state of the art, work began by considering the development of a support system for experimental design and analysis that had human intelligence and machine control of execution. This provided a semi-structured decision-making environment in the form of a controller that requested human input. The controller was made intelligent when it was linked to a non-procedural (PROLOG) program that provided remote intelligent input from either the user or default heuristics. The intelligent controller was found to enhance simulation experimentation because it ensures that all the steps in the experimental design and analysis phase take place and receive appropriate input. The next stage was to adopt the view that simulation experimental design and analysis may be enhanced through a system that had machine intelligence but expected human control of execution. This provided the framework of an advisor that adopted a consultation expert system paradigm. Users were advised on how to perform simulation experimentation. Default reasoning strategies were implemented to provide the system with advisory capabilities in the tasks of prediction, evaluation, comparison, sensitivity analysis, transient behaviour, functional relations, optimisation. Later the controller and the advisor were linked to provide an integrated system with both machine intelligence and machine control of execution. User involvement in the experimentation process was reduced considerably as support -¿as provided in both the reasoning and control of execution aspects. Additionally, this integrated system supports facilities for refinement purposes that aim at turning the system’s knowledge into expertise. It became theoretically possible for other simulation experts to teach the system or experiment with their own rules and knowledge. The following stage considered making the knowledge of the system available to the user, thereby turning the system into a teacher and providing pedagogical support Teaching was introduced through explanation and demonstration. The explanation facility used a mixed approach: it combined a first time response explanation facility to "how" and "why" questions with a menu driven information system facility for "explain" requests or further queries. The demonstration facility offers tutorials on the use of the system and how to carry out an investigation of any of the tasks that the system can address. The final part of the research was to collect some empirical results about the performance of the system. Some experiments were performed retroactively on existing studies. The system was also linked to a data-driven simulation package 'hat permitted evaluation using some large scale industrial applications. The system’s performance was measured by its ability to perform as well as students with simulation knowledge but not necessarily expertise. The system was also found to assist the user with little or no simulation knowledge to perform as well as students with knowledge. This study represents the first practical attempts to use the expert system framework to model the processes involved in simulation experimentation. The framework described in this thesis has been implemented as a prototype advisory system called WES (Warwick Expert Simulator). The thesis concludes that the framework proposed is robust for this purpose.

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Lindstam, Tim, and Anton Svensson. "Behavior Based Artificial Intelligence in a Village Environment." Thesis, Malmö högskola, Fakulteten för teknik och samhälle (TS), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20522.

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Abstract. Autonomous agents, also known as AI agents, are staples in modern video games. They take a lot of roles, everything from being quest-givers in roleplaying games, to opposing forces in action- and shooter games. Crafting an AI that is not only easy to create, but also retains humanlike and believable behavior, has always represented a challenge to the development industry, and has in several cases ended up with open world games using AI systems that limit the AI agents to simple moving patterns. In this thesis, a form of AI systems more commonly used in simulation games such as The Sims video game series, are taken and implemented in an environment that could possibly be seen in an open world game. After the implementation, a set of tests were performed on a group of testers which resulted in the insight that a majority of the testers, when asked to compare their experience to other games, found this implementation to feel more lifelike and realistic.

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Moonasar, Viresh. "Credit risk analysis using artificial intelligence : evidence from a leading South African banking institution." Thesis, University of South Africa, 2007. http://hdl.handle.net/10500/111.

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Credit risk analysis is an important topic in financial risk management. Financial institutions (e.g. commercial banks) that grant consumers credit need reliable models that can accurately detect and predict defaults. This research investigates the ability of artificial neural networks as a decision support system that can automatically detect and predict “bad” credit risks based on customers demographic, biographic and behavioural characteristics. The study focuses specifically on the learning vector quantization neural network algorithm. This thesis contains a short overview of credit scoring models, an introduction to artificial neural networks and their applications and presents the performance evaluation results of a credit risk detection model based on learning vector quantization networks.

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Reyes, Moro Antonio. "Scheduling of flexible manufacturing systems integrating Petri nets and artificial intelligence methods." Thesis, Liverpool John Moores University, 2000. http://researchonline.ljmu.ac.uk/5527/.

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The work undertaken in this thesis is about the integration of two well-known methodologies: Petri net (PN) model Ii ng/analysis of industrial production processes and Artificial Intelligence (AI) optimisation search techniques. The objective of this integration is to demonstrate its potential in solving a difficult and widely studied problem, the scheduling of Flexible Manufacturing Systems (FIVIS). This work builds on existing results that clearly show the convenience of PNs as a modelling tool for FIVIS. It addresses the problem of the integration of PN and Al based search methods. Whilst this is recognised as a potentially important approach to the scheduling of FIVIS there is a lack of any clear evidence that practical systems might be built. This thesis presents a novel scheduling methodology that takes forward the current state of the art in the area by: Firstly presenting a novel modelling procedure based on a new class of PN (cb-NETS) and a language to define the essential features of basic FIVIS, demonstrating that the inclusion of high level FIVIS constraints is straight forward. Secondly, we demonstrate that PN analysis is useful in reducing search complexity and presents two main results: a novel heuristic function based on PN analysis that is more efficient than existing methods and a novel reachability scheme that avoids futile exploration of candidate schedules. Thirdly a novel scheduling algorithm that overcomes the efficiency drawbacks of previous algorithms is presented. This algorithm satisfactorily overcomes the complexity issue while achieving very promising results in terms of optimality. Finally, this thesis presents a novel hybrid scheduler that demonstrates the convenience of the use of PN as a representation paradigm to support hybridisation between traditional OR methods, Al systematic search and stochastic optimisation algorithms. Initial results show that the approach is promising.

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Sankara, Velayutham Girish Shanmugam. "Artificial Intelligence assisted Canary Testing of Cloud Native RAN in a mobile telecom system." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-449221.

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Recent advancement in cloud-native infrastructure has made most organizations to transition from a traditional infrastructure of separate, static physical systems to cloudenvironments running on virtualized resources. Undoubtedly telecommunication industry will largely be benefitted from cloud-native infrastructure. In the future,network applications in Radio Access Network (RAN) will be built on cloud-nativeprinciples denoted as CloudRAN. In CloudRAN, new versions of the network applications that are integrated or deployed need to be validated before release. Canary testing is a popular testing strategy where the new version is exposed to a small subset of users initially. The performance of the new version is then monitored and analyzed to test and decide the quality of the new version. Unlike 4G, the 5GCloudRAN for the public mobile broadband may consist of hundreds of clusters and thousands of different microservices. Traditional DevOps solutions cannot keep upwith 3Vs of big data i.e. the volume, velocity, and variety. Furthermore, performing the analysis manually during canary testing is an exhausting process. In this thesis work, the problem of automating the decision-making process in canary testing ofCloudRAN applications by monitoring and analyzing time-series metrics of existing production version against new canary version using artificial intelligence methods is addressed.

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Othman, Amani. "Mapping Artificial Intelligence (AI) Capabilities around Human Competences : An explorative study." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-44748.

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Technology in the workplace has helped increase the rate of production and speed at which business occur. As these technologies advance, humans are becoming more efficient and more productive than ever before. The impact of technology on work, has consistently changed the way human across every industry do their jobs. In fact, the latest advancements in artificial intelligence (AI) has the potential to further influence a greater shift in the way human accomplish job tasks. Because artificial intelligence is a technology based on augmenting human, we can use this advantage to further complement human intelligence. Making human more creative and smarter than they have ever been. To achieve this, we need to understand how AI’s capabilities can complement human’s competences. In a workplace context, we need to understand how AI can facilitate the support of different type of tasks. Hence, the purpose of this explorative study is to understand AI’s influence on people’s skills and on workflows. This is done by mapping AI capabilities around human competences to help individuals up- skill and to support organizations in planning effective workflows enabled by AI to achieve better performance. The insights for this qualitative study is gathered by developing an AI use- case with industrial partners, while carefully observing the influence AI poses on human skills and organization processes. Beyond the traditional technology optimizations that earlier helped human with speed and accuracy, the findings from this thesis show that AI could empower human through skills such as creativity, problem solving, and analysis. As a consequence, such advancement impacts the demand of human competences needed to thrive in AI enabled workplaces. The long-term impact of adapting AI to support in workplace tasks, shows a trend in moving toward more intellectually demanding tasks. While workflows will need to facilitate collaboration between cross-disciplinary teams and support high involvement.

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da, Rosa Raquel C. "An Evaluation of Unsupervised Machine Learning Algorithms for Detecting Fraud and Abuse in the U.S. Medicare Insurance Program." Thesis, Florida Atlantic University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10815097.

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The population of people ages 65 and older has increased since the 1960s and current estimates indicate it will double by 2060. Medicare is a federal health insurance program for people 65 or older in the United States. Medicare claims fraud and abuse is an ongoing issue that wastes a large amount of money every year resulting in higher health care costs and taxes for everyone. In this study, an empirical evaluation of several unsupervised machine learning approaches is performed which indicates reasonable fraud detection results. We employ two unsupervised machine learning algorithms, Isolation Forest, and Unsupervised Random Forest, which have not been previously used for the detection of fraud and abuse on Medicare data. Additionally, we implement three other machine learning methods previously applied on Medicare data which include: Local Outlier Factor, Autoencoder, and k-Nearest Neighbor. For our dataset, we combine the 2012 to 2015 Medicare provider utilization and payment data and add fraud labels from the List of Excluded Individuals/Entities (LEIE) database. Results show that Local Outlier Factor is the best model to use for Medicare fraud detection.

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Stone, Leah. "Digitization, Innovation, and Participation| Digital Conviviality of the Google Cultural Institute." Thesis, Colorado State University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10824526.

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The Frightful Five—Amazon, Apple, Facebook, Microsoft and Alphabet, the parent company of Google—shape the way data are generated and distributed across digital space (Manjoo, 2017). Through their technologies and increase in scope and scale, these titans provide new ways for people to create, find, and share information online. And, with such control, they have continued as well as expanded their reign over information commerce, changing the way that people and technology interact. In this way, tech giants act as gatekeepers over data, as well as serve as all-mighty-creators over technologies that arguably act on humans.

To explain, debates over whether or not technologies are employing “computational agency” (Tufecki, 2015, p. 207) have developed. One of these disputes is commonly referred to as the Great Artificial Intelligence (AI) Debate, and is currently being publicly argued between two of the most prominent tech titans: Elon Musk, founder of Tesla and SpaceX, and Mark Zuckerberg, founder of Facebook (Narkar, 2017). On one side of the AI argument, sits tech mogul Musk, who is crying for regulatory restrictions over AI and painting doomsday pictures of robots killing humans. Conversely, on the other side of the dispute, sits tech giant Zuckerberg, who claims AI will enhance society as it makes the world a better place.

This great AI debate underscores what Illich (1973) described as organizations that practice in convivial versus non-convivial ways. In other words, as tech titans are continuing to advance technology, it can be argued that they are operating in convivial ways as they enhance society through their participatory tools that work with humans to complete a task. Alternatively, it can be debated that technology organizations may be functioning in non-convivial ways as they manipulate society for the sake of their technologies. And, while these technologies may be participating with humans (convivial) to complete a task, they may actually be working for and/or acting on humans (non-convivial) to do an activity.

The purpose of this dissertation was to establish a unique approach to studying the conviviality of technology titans and how they organize digital space, a concept the researcher coined as digital conviviality. Digital conviviality is when a technology company operates in digital convivial ways such that it: (a) builds tools for digital communication; (b) has a value proposition that, while aimed at generating a profit, is also focused on using its technology to enhance society, instead of manipulating society for the sake of its technologies; and (c) designs technological tools that work with humans, instead of tools that work for humans or tools that act on humans, to accomplish a task. To further understand this conception of digital conviviality, an investigation was piloted into a tech titan that arguably claims to promote digital conviviality at its core: Google.

Using Illich’s (1973) notion of conviviality as a guide, an exploration into Google’s approach to convivial technologies was conducted. This study sought to understand Google’s ability to shape information in the arts and culture space. Through its Google Cultural Institute (GCI) and Google Arts & Culture (GAC) initiatives, Google focused on “democratizing access to the world’s culture” (Google CI Chromecast, 2014, 00:44). In this way, the study aimed to answer the overarching question: in what ways is the GCI considered a digital convivial company, and conversely, in what ways is it not? Based on this, an explication of the concept of digital conviviality and a framework for studying such things were developed.

Drawing from several disciplines, methodologies, and theoretical frameworks (e.g., science and technology, posthumanism, actor-network theory, design science in information systems, business models, digital methods, and convivial studies), a body of theory was gathered together, synthesized, and enhanced. Next, the collected information was used to assemble and create a new methodological strategy called digital convivial tracking with a design science (DS) approach and actor-network theory (ANT) mindset. Digital convivial tracking employs traditional qualitative methods, as well as innovative digital methods, to trace important objects throughout a digital ecosystem. Because the GCI digitizes the world’s arts and culture, the iconic The Starry Night painting by Vincent van Gogh (1889d) was selected as the object to track across the institute’s ecosystem. This process helped identify the GCI’s complex and entangled business model, as well as its technological innovations. (Abstract shortened by ProQuest.)

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31

Wilson, Lawriston A. II. "Prediction of Fertility of Virginia Beef Heifers Using Expert Systems Technology." Thesis, Virginia Tech, 1996. http://hdl.handle.net/10919/36730.

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An expert system to predict the fertility of beef heifers was developed using the A.I. Toolkit KAPPA-PC 2.33. The knowledge base was developed from scientific literature and from a beef cattle reproduction expert. The expert system computes an evaluation age, age both at the start and end of the breeding season, and weight per day of age to classify a heifer as having either a 3LOW2, 3GOOD2, or 3EXCELLENT2 likelihood of conception. The expert system summarizes the information that is entered into the computer and creates a text file of the summary. It also gives explanations for every prediction to help identify and alleviate any problem areas that may affect a heifer1s ability to reproduce. The program requires an IBM compatible computer installed with Windows 3.13 or greater. From simulated data for purebred or crossbred British cattle, there was 72% prediction agreement between the expert system and the expert. From analysis of historical data of Hereford-Angus crossbred cattle, heifers categorized as 3LOW2 and 3GOOD2 had significantly higher observed pregnancy rates than expected for each category. There was no significant difference between observed and expected pregnancy rates for heifers in the 3EXCELLENT2 category. Pregnancy rates for post-weaning and pre-breeding evaluations for the 3LOW2 heifers were found to be lower from the combined 3GOOD2 and 3EXCELLENT2 heifers at P=.03 and P=.06 respectively. Observed successful calving rates for heifers categorized as 3LOW2, 3GOOD2, and 3EXCELLENT2 did not differ significantly from the expected calving rates for each category.
Master of Science

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32

Karlsson, Frida. "The opportunities of applying Artificial Intelligence in strategic sourcing." Thesis, KTH, Industriell ekonomi och organisation (Inst.), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-281306.

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Artificial Intelligence technology has become increasingly important from a business perspective. In strategic sourcing, the technology has not been explored much. However, 67% of CPO:s in a survey showed that AI is one of their top priorities the next 10 years. AI can be used to identify patterns, predict prices and provide support in decision making. A qualitative case study has been performed in a strategic sourcing function at a large size global industrial company where the purpose has been to investigate how applicable AI is in the strategic sourcing process at The Case Company. In order to achieve the purpose of this study, it has been important to understand the strategic sourcing process and understand what AI technology is and what it is capable of in strategic sourcing. Based on the empirical data collection combined with literature, opportunities of applying AI in strategic sourcing have been identified and key areas for an implementation have been suggested. These include Forecasting, Spend Analysis & Savings Tracking, Supplier Risk Management, Supplier Identification & Selection, RFQ process, Negotiation process, Contract Management and Supplier Performance Management. These key areas have followed the framework identified in the literature study while identifying and adding new factors. It also seemed important to consider factors such as challenges and risks, readiness and maturity as well as factors that seems to be important to consider in order to enable an implementation. To assess how mature and ready the strategic sourcing function is for an implementation, some of the previous digital projects including AI technologies have been mapped and analysed. Based on the identified key areas of opportunities of applying AI, use cases and corresponding benefits of applying AI have been suggested. A guideline including important factors to consider if applying the technology has also been provided. However, it has been concluded that there might be beneficial to start with a smaller use case and then scale it up. Also as the strategic sourcing function has been establishing a spend analytics platform for the indirect team, there might be a good start to evaluate that project and then apply AI on top of the existing solution. Other factors to consider are ensuring data quality and security, align with top management as well as demonstrate the advantages AI can provide in terms of increased efficiency and cost savings. The entire strategic sourcing function should be involved in an AI project and the focus should not only be on technological aspect but also on soft factors including change management and working agile in order to successfully apply AI in strategic sourcing.
Artificiell Intelligens har blivit allt viktigare ur ett affärsperspektiv. När det gäller strategiskt inköp har tekniken inte undersökts lika mycket tidigare. Hursomhelst, 67% av alla tillfrågade CPO:er i en enkät ansåg att AI är en av deras topprioriteringar de kommande tio åren. AI kan exempelvis identifiera mönster, förutspå priser samt ge support inom beslutsfattning. En kvalitativ fallstudie har utförts i en strategisk inköpsfunktion hos ett globalt industriföretag där syftet har varit att undersöka hur tillämpbart AI är i strategiskt inköp hos Case-Företaget. För att uppnå syftet med denna studie har det varit viktigt att förstå vad den strategiska inköpsprocessen omfattas av samt vad AI-teknologi är och vad den är kapabel till inom strategiskt inköp. Därför har litteraturstudien gjorts för att undersöka hur man använt AI inom strategiskt inköp tidigare och vilka fördelar som finns. Baserat på empirisk datainsamling kombinerat med litteratur har nyckelområden för att applicera AI inom strategiskt inköp föreslagits inkluderat forecasting, spendanalys & besparingsspårning, riskhantering av leverantörer, leverantörsidentifikation och val, RFQ-processen, förhandlingsprocessen, kontrakthantering samt uppföljning av leverantörsprestation. Dessa nyckelområden har följt det ramverk som skapats i litteraturstudien samtidigt som nya faktorer har identifierats och lagts till då de ansetts som viktiga. För att tillämpa AI i strategiska inköpsprocessen måste Case-Företaget överväga andra aspekter än var i inköpsprocessen de kan dra nytta av AI mest. Faktorer som utmaningar och risker, beredskap och mognad samt faktorer som ansetts viktiga att beakta för att möjliggöra en implementering har identifierats. För att bedöma hur mogen och redo den strategiska inköpsfunktionen hos Case-Företaget är för en implementering har några av de tidigare digitala projekten inklusive AI-teknik kartlagts och analyserats. Det har emellertid konstaterats att det kan vara fördelaktigt för strategiskt inköp att börja med ett mindre användningsområde och sedan skala upp det. Eftersom strategiska inköpsfunktionen har implementerat en spendanalys plattform kan det vara en bra start att utvärdera det projektet och sedan tillämpa AI ovanpå den befintliga lösningen. Andra faktorer att beakta är att försäkra datakvalitet och säkerhet, involvera ledningen samt lyfta vilka fördelar AI kan ge i form av ökad effektivitet och kostnadsbesparingar. Därtill är det viktigt att inkludera hela strategiska inköps-funktionen samt att inte endast beakta den tekniska aspekten utan också mjuka faktorer så som change management och agila metoder.

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Sullivan, Matthew John. "Applying knowledge-based techniques and artificial intelligence to automated problem solving in science, technology and bioinformatics." Thesis, Queen's University Belfast, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.287431.

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Roth, Donald Allan. "Enhancing manufacturing productivity through the design and development of expert systems." Ohio : Ohio University, 1992. http://www.ohiolink.edu/etd/view.cgi?ohiou1173215999.

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Sengöz, Yasin. "Assessment of Manufacturing-Execution-System Functions with respect to Artificial Intelligence Suitability." Thesis, Jönköping University, Tekniska Högskolan, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-49369.

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Artificial Intelligence arises in the manufacturing field very rapidly. Implementing Artificial Intelligence (AI) solutions and algorithms in the manufacturing environment is a well-known research field in academia. On the other hand, Manufacturing-Execution-System (MES) providers do not have a theoretical and pragmatic framework regarding the evaluation of MES functions in respect to their suitability for Artificial Intelligence. In order to be able to pre-evaluate whether a MES function shall be AI supported an intense literature research has been conducted. Academia shows few investigations regarding this field of research. Recent studies have been concerning about possible applications for MES functions in combination with AI. However, there is a lack of research in terms of pre-evaluating a MES function before embedding the function with AI support, since the development of AI solutions for MES functions without pre-evaluating those bears a waste of valuable resources. Therefore, the thesis work introduces an assessment framework consisting of decisive criteria and related indicators which describe qualitatively the suitability of AI for MES functions based on three criteria with related indicators. In addition, the researcher displays furthermore how the developed assessment framework can be used in order to assess the MES functions regarding their AI “readiness”. In order to cope the findings through the thesis work an inductive research approach has been applied. Existing literature in the fields of intelligent manufacturing, Manufacturing-Execution-Systems, machine learning, deep learning, intelligent manufacturing, digital twin, and assessment methodologies have been extensively studied in order to base the theoretical developed framework on grounded theory. A major issue was to focus the development of the assessment framework in harmony with academia and industry. The requirements for academia were met by providing profoundly investigation through the research fields. A case study was carried out in order to test the validity and reliability of the developed assessment framework for industry. The outcome of this thesis work was an assessment framework consisting of decisive criteria and related indicators when evaluating a MES function in respect to its AI suitability. Furthermore, an assessment checklist has been provided for the industry in order to be able to assess a MES function regards AI support in a quick and pragmatic manner. To generate a more generalizable assessment framework criteria and indicators have to be adapted, likewise testing the outcome of analogue and digital assessment methodologies will provide material for future studies.

Successfully defended

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Roche, Patrick G. "A FORCEnet framework for analysis of existing naval C4I architectures." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03Jun%5FRoche.pdf.

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Thesis (M.S. in Systems Technology)--Naval Postgraduate School, June 2003.
Thesis advisor(s): William G. Kemple, John S. Osmundson. Includes bibliographical references (p. 103-105). Also available online.

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Choi, Chiyoung. "Predicting Customer Complaints in Mobile Telecom Industry Using Machine Learning Algorithms." Thesis, Purdue University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10791168.

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Mobile telecom industry competition has been fierce for decades, therefore increasing the importance of customer retention. Most mobile operators consider customer complaints as a key factor of customer retention. We implement machine learning algorithms to predict the customer complaints of a Korean mobile telecom company. We used four machine learning algorithms ANN (Artificial Neural Network), SVM (Support Vector Machine), KNN (K-Nearest Neighbors) and DT (Decision Tree). Our experiment utilized a database of 10,000 Korean mobile market subscribers and the variables of gender, age, device manufacturer, service quality, and complaint status. We found that ANN’s prediction performance outperformed other algorithms. We also propose the segmented-prediction model for better accuracy and practical usage. Segments of the customer group are examined by gender, age, and device manufacturer. Prediction power is better for female, older customers, and the non-iPhone groups than other segment groups. The highest accuracy s ANN’s 87.3% prediction for the 60s group.

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Vyhnalek, Brian. "Bio-Inspired Optimization of Ultra-Wideband Patch Antennas Using Graphics Processing Unit Acceleration." Cleveland State University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=csu1398262685.

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Ali, Mazin. "360? View Camera Based Visual Assistive Technology for Contextual Scene Information." Thesis, Rochester Institute of Technology, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10621991.

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In this research project, a system is proposed to aid the visually impaired by providing partial contextual information of the surroundings using 360° view camera combined with deep learning is proposed. The system uses a 360° view camera with a mobile device to capture surrounding scene information and provide contextual information to the user in the form of audio. The system could also be used for other applications such as logo detection which visually impaired users can use for shopping assistance.

The scene information from the spherical camera feed is classified by identifying objects that contain contextual information of the scene. That is achieved using convolutional neural networks (CNN) for classification by leveraging CNN transfer learning properties using the pre-trained VGG-19 network. There are two challenges related to this paper, a classification and a segmentation challenge. As an initial prototype, we have experimented with general classes such restaurants, coffee shops and street signs. We have achieved a 92.8% classification accuracy in this research project.

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Littlefield, William Joseph II. "Abductive Humanism: Comparative Advantages of Artificial Intelligence and Human Cognition According to Logical Inference." Case Western Reserve University School of Graduate Studies / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=case1554480107736449.

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Treijs, Jonatan. "Artificial Life, A Model." Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-25742.

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The model of this thesis simulates a simple artificial eco-system in which evolving and learning agents try to survive by consuming balls of energy and surviving attacks by other agents. The study finds that the model indeed manages to evolve surviving, and in some cases very aggressive, agents. The thesis presents similar conclusions to that of the study of Polyworld by Yaeger [16]; that an evolving population only facilitates a need for complexity set by the world it evolves in and stagnates when the population has reached this level of complexity. If the populations are to evolve further, the world it lives in must first demand a higher level of complexity. Various problems with simulating artificial life are also discussed along with the more specific obstacles of simulating artificial life in Breve and NEST integrated. The physical world of the model is built in the Breve simulation environment and the neural networks are simulated in NEST through integrate-and-fire neurons and spike-timing dependent plasticity synapses.

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Ziv, Ary. "Dynamics in interactions with digital technology| A depth psychological/theoretical exploration of the evolutionary-biological, symbolic, and emotional psyche in the digital age." Thesis, Pacifica Graduate Institute, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3633365.

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The intention of this exploratory research is to shed light on the psychological impact of interactions with digital technology, which is increasingly pervasive in our culture. This dissertation asks what psychological phenomena are generated by human interactions with digital technology, in general, and with complex recommendation systems, in particular. Nondigital technology is contrasted with digital technology, which achieves new levels of interactivity through its artificial and virtual capabilities. It is proposed that the degree of increased interactivity made possible by digital technology crosses a threshold impacting the psyche in new ways.

A theoretical framework for understanding human-digital technology interactions is introduced and developed. The psyche is conceptualized as evolutionarily and biologically based, functioning symbolically and emotionally both consciously and unconsciously. Ramifications of this conceptualization are explored in the context of interactions with digital/algorithmic technology, using recommendation systems as illustrations.

The theoretical investigation concludes that psyche-digital technology interactions are new phenomena. Psychic processes—by nature evolutionarily and biologically symbolic and largely unconscious—interact with nonbiological digital/algorithmic technology. Because of the incongruence of value systems between biological phenomena and digital/algorithmic logic, unconscious psychic processes resulting from interactions between the biological feeling psyche and nonbiological digital technology are likely to significantly impact both psychic development of individuals, in the short term, and quite possibly the human species at large, in the long term.

The method of exploratory research is interpretive and theoretically oriented, while employing a depth psychological lens. Contemporary depth psychology is described as an integrative field that is receptive to insights from all other fields; it considers unconscious phenomena as vital to human psychological makeup. This study brings together depth psychological and neurobiological theory; and is grounded in the work of depth psychologist Erich Neumann, who describes biological-evolutionary-symbolic unconscious and conscious dynamics of the psyche.

As background, social psychology's discoveries of unconscious social behaviors triggered by interacting with new media are highlighted as fundamental in interactions with computing technology. From a depth psychological point of view, conscious and unconscious relationships to and with technology are explored historically as precursors to interactions with digital technology.

Keywords: human-computer interactions, depth psychology, big data, recommendation systems, digital technology, emotions, affect, feeling, neurobiology, Carl Jung, Erich Neumann.

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El-Quessny, Yasser M. (Yasser Mohamed). "The impact of introducing artificial intelligence technology to architecture and its leverage on the concept of design automation." Thesis, Massachusetts Institute of Technology, 1987. http://hdl.handle.net/1721.1/73284.

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Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Architecture, 1987.
Includes bibliographical references (leaves 70-74).
The problem addressed in this research is understanding the nature evolving and new technologies into the domain of architectural design and building technology. This thesis, essentially, is an exploration of the ways that "Artificial Intelligence" techniques may support systematic and rational architectural design and, by extension, the "Building Systems" process. The motivation for working in this area of research stems from the serious need to develop a new methodological design approach for architects. Given the fact that computer science and artificial intelligence (AI) in particular, is an evolving domain for problem solving techniques, it is believed that it could be a comprehensive tool for achieving that goal. Thus, this thesis describes a generic design methodology using intelligent computers, that may eventually help generate a new approach to architectural design, and assist in the development of new building technologies. This research traces two discrete, but related, concerns: the questioning of the nature of the architectural design paradigm, and the applications of artificial intelligence technology in architecture, both discussed within the context of DESIGN AUTOMATION, where their common ground is establishing a thinking model of how to approach a problem..
by Yasser M. El-Quessny.
M.S.

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44

Huhtinen, J. (Jouni). "Utilization of neural network and agent technology combination for distributed intelligent applications and services." Doctoral thesis, University of Oulu, 2005. http://urn.fi/urn:isbn:9514278550.

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Abstract The use of agent systems has increased enormously, especially in the field of mobile services. Intelligent services have also increased rapidly in the web. In this thesis, the utilization of software agent technology in mobile services and decentralized intelligent services in the multimedia business is introduced and described. Both Genie Agent Architecture (GAA) and Decentralized International and Intelligent Software Architecture (DIISA) are described. The common problems in decentralized software systems are lack of intelligence, communication of software modules and system learning. Another problem is the personalization of users and services. A third problem is the matching of users and service characteristics in web application level in a non-linear way. In this case it means that web services follow human steps and are capable of learning from human inputs and their characteristics in an intelligent way. This third problem is addressed in this thesis and solutions are presented with two intelligent software architectures and services. The solutions of the thesis are based on a combination of neural network and agent technology. To be more specific, solutions are based on an intelligent agent which uses certain black box information like Self-Organized Map (SOM). This process is as follows; information agents collect information from different sources like the web, databases, users, other software agents and the environment. Information is filtered and adapted for input vectors. Maps are created from a data entry of an SOM. Using maps is very simple, input forms are completed by users (automatically or manually) or user agents. Input vectors are formed again and sent to a certain map. The map gives several outputs which are passed through specific algorithms. This information is passed to an intelligent agent. The needs for web intelligence and knowledge representation serving users is a current issue in many business solutions. The main goal is to enable this by means of autonomous agents which communicate with each other using an agent communication language and with users using their native languages via several communication channels.

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Heyder, Jakob. "Hierarchical Temporal Memory Software Agent : In the light of general artificial intelligence criteria." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-75868.

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Artificial general intelligence is not well defined, but attempts such as the recent listof “Ingredients for building machines that think and learn like humans” are a startingpoint for building a system considered as such [1]. Numenta is attempting to lead thenew era of machine intelligence with their research to re-engineer principles of theneocortex. It is to be explored how the ingredients are in line with the design princi-ples of their algorithms. Inspired by Deep Minds commentary about an autonomy-ingredient, this project created a combination of Numentas Hierarchical TemporalMemory theory and Temporal Difference learning to solve simple tasks defined in abrowser environment. An open source software, based on Numentas intelligent com-puting platform NUPIC and Open AIs framework Universe, was developed to allowfurther research of HTM based agents on customized browser tasks. The analysisand evaluation of the results show that the agent is capable of learning simple tasksand there is potential for generalization inherent to sparse representations. However,they also reveal the infancy of the algorithms, not capable of learning dynamic com-plex problems, and that much future research is needed to explore if they can createscalable solutions towards a more general intelligent system.

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Liliequist, Erik. "Artificial Intelligence - Are there any social obstacles? : An empirical study of social obstacles." Thesis, KTH, Industriell ekonomi och organisation (Inst.), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-229506.

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Artificial Intelligence is currently one of the most talked about topics with regard to technical development. The possibilities are enormous and it might revolutionize how we live our lives. There are talk of robots and AI removing the need for human workers. At the same time there are also those who view this as deeply troublesome. Either from an individual perspective, asking the question what we should do once we do not need to work more? Or from an existential perspective, raising issues of what responsibilities we have as humans and what it means to be human? This study does not aim to answer these grand questions, but rather shift the focus to the near future of three to five years. Yet, there is still a focus on the social aspects of the development of AI. What are the perceived greatest social issues and obstacles for a continued implementation of AI solutions in society? To answer these question interviews have been conducted with representatives for the Swedish society, ranging from politicians, union and employers’ organizations to philosophers and AI researchers. Further a literature study has been made of similar studies, comparing and reflecting their findings with the views of the interviewees. In short, the interviewees have a very positive view of AI in the near future, believing that a continued implementation would go relatively smoothly. Yet, they pointed to a few key obstacles that might need to be addressed. Mainly there is a risk of increased polarization of wages and power due to AI, although stressed that it depends on how we use the technology rather than the technology itself. Another obstacle was connected to individual uncertainty of the development of AI, causing a fear of what might happen. Further, several different ethical issues were raised. There was an agreement that we need to address these as soon as possible, but they did not view this as an obstacle.

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De, la Croix de Castries Jérôme. "Using artificial intelligence to enhance personalization of customer relationship management in the contact center space : Afiniti's technology case study." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/114312.

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Thesis: S.M. in Management Research, Massachusetts Institute of Technology, Sloan School of Management, 2017.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 57-62).
Increase in worldwide data generation and decrease in data storage costs associated with increase in computing power and decrease in computing costs that we are experiencing globally are opening a brand new world of opportunities. Yet, new technologies still fail to mimic humans inner ability to interact and influence each other, thus failing to efficiently replace human when comes the time for companies to talk with their customers. Yet some technologies in this field contribute to enhancing such interactions and may open the way for a sustainable Al revolution. Such a revolution is not one of human labor substitution by intelligent machines but one of collaboration through augmentation of human capabilities. One company, Afiniti, has developed such a technology and associated it with a very unusual business model and sales strategy that could very well be a game-changer in the space. Afiniti enhances human interactions by applying behavior-based personalization in the contact center space. Having developed a precise measurement system it only gets compensated on the precisely generated benefits it delivers. Selling such a business model has led the company to transform its sales engagement approach in order to tackle firms' organizational inefficiencies that hindered its ability to sell efficiently. Building the structure, levers and channels necessary to support this strategy, it has also strengthened its competitive position in its newly open market through its first mover advantage business model, its aggressive intellectual property building and its sales network. Finally, it appears that its approach to personalization is fitting in numerous academic fields and very relevant to the specific characteristic of the contact center space. Said to expect public offering in 2017 we still need to see what will be the long-term trajectory of a product that will probably not stay alone in its space.
by Jérôme de la Croix de Castries.
S.M. in Management Research

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48

Bruck, Axel. "Artificial Intelligence in rural offgrid Polygeneration Systems: : A Case Study with RVE.Sol focusing on Electricity Supply & Demand Balancing." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-264246.

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Growing data generation and increasing computational power accelerate the advance of machine learning (ML) as a subsection of artificial intelligence in various sectors, while in Sub-Saharan Africa (SSA) electrification cannot keep up with the pace of population growth. Hence, this study aims to determine how ML can support rural polygeneration minigrids and thus assisting the electrification efforts in SSA in cooperation with the company RVE.Sol. This study focuses on electricity supply and demand balancing, but also discusses other application areas and non-rural context. Within the (micro)grid and energy area, main application areas studied in academia are identified as power and load forecasting, scheduling and sizing. Building on existing works, this thesis proposes a concept aimed at improving the supply and demand mismatch, while discussing further ML applications and generating knowledge transfer to general, non-rural polygeneration systems. The load and generation mismatch and the impact of possible demand response (DR) implementation are quantified, followed by an expert questionnaire to back up machine learning knowledge in the discussed context. Moreover, GHI and PV power predictions are performed to obtain indications about promising features and algorithms. Finally, considering the previous steps a concept for ML supported generation and load matching by DR is proposed. Results indicate that DR could improve the significant mismatch of load and power generation in RVE.Sol’s grids. According to the proposed model, a 30% acceptance rate to the DR scheme results in 56% operational expenditure (OPEX) and approximately 60% CO2 and particulate matter (PM) emissions decline. A sensitivity analysis indicates that acceptance is a critical success factor for a DR scheme. Hence, a DR concept is proposed where load and PV power are forecasted by ML to set 4 different tariff periods 24 h in advance to improve acceptance. The tariff prices could possibly be derived by reinforcement learning. Preliminary PV power forecasting indicates that a random forest algorithm for regression with weather and time related input features is promising due to high accuracy and short training time compared to other algorithms including neural networks. While the proposed scheme has advantages within all three pillars of sustainability, the lack of data as well as small system and load sizes/low complexities remain as two major impediments for ML in rural polygeneration systems. Thus, ML likely bares better applicability in the urban and developed context, where data availability is higher and loads are more diverse.

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ERIKSSON, MALIN, and CAMRAN DJOWEINI. "Artificial Intelligence’s Impact on Management : A literature review covering artificial intelligence’s influence on leadership skills and managerial decision-making processes." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279737.

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This thesis aims to study how Artificial intelligence (AI) can help enhance leadership skills and managerial decision-making processes. The research will be done through a systematic literature review, reviewing articles that deem relevant and objective. The problem formulation could be described as ‘the adaptation of leadership skills and managerial decision-making processes due to the implementation of AI in the workplace’, as that has been found to be the research gap during the literature review. The research led to the conclusions that there will occur a shift regarding leadership styles. As the harder elements of leadership will be replaced by AI, managers need to lean toward more uniquely human skills to succeed in the future, for example motivating employees and enhance creativity in the workplace. As for how the process of decision-making will change due to the implementation of AI, the study concludes that it is not fully clear how the process will change. However, the implementation of AI will enhance the speed and the accuracy of decisions being made, if AI has quality assured training data.
Detta examensarbete syftar till att studera hur artificiell intelligens (AI) kommer att påverka våra ledarskapsstilar samt de beslutsprocesser som är kopplade till chefskap. Undersökningen har utförts genom en litteraturstudie, där artiklar som författarna funnit objektiva samt relevanta till frågeställningen har att granskats. Uppsatsen problemformulering kan förklaras som ‘anpassning av ledarskapsstilar och chefers beslutsprocesser på grund av implementering av AI på arbetsplatser’, eftersom detta har kartlagts som forskningsgapet under litteraturstudien. Studien har lett till slutsatsen att det kommer ske ett skifte avseende vilka ledarskapsstilar som kan föredras i framtida organisationer. När de hårda elementen av ledarskap ersätts av AI behöver chefer lägga större vikt vid för människor unika färdigheter, såsom att motivera medarbetare och främja kreativitet i organisationerna. Studien drar även slutsatsen att det inte är fullt kartlagt i litteraturen hur chefers beslutsprocesser påverkas av implementeringen av AI på arbetsplatser. Implementeringen av AI kommer dock öka både hastigheten och korrektheten i de beslut som fattas, förutsatt att AI har kvalitetssäkrad träningsdata.

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Gersil, Tuna, and Ismail Hilal. "The Role of Conversational Interfaces in the Future of Digitaland Technology." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279688.

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Abstract:

Conversational interfaces (CIs) have been a trending topic in recent years. As of the last decade, CIs have emerged with the aim of simplifying human-machine interactions and found a wide use case in the market. For example, Siri and Google Assistant are some of the most well-known CIs developed by the tech giants Apple and Google. The digital landscape has evolved from web, to mobile apps, to recently CIs. Nowadays, CIs, in particular chatbots and voicebots, are becoming increasingly common. Whether navigating the web or messaging on a phone, it is likely that CIs have been confronted offering the user help.However, CIs have not managed to reach a large-scale use. Furthermore, the reasons regarding the challenges faced by CIs as well as their usability are not greatly explored. In this thesis, we explore the most relevant uses of CIs and the reasons hindering a widespread use of CIs. Our goal is to provide an insight into CIs’ uses and list the reasons regarding the challenges faced by CIs. The research study followed a mixed method approach connecting an explorative qualitative literature study, a survey and an interview. The data was collected by using a systematic mapping approach for it being more suitable for conducting an effective literature review. The survey and the interview were conducted in order to confirm the findings.According to our research, it was found that the most common use cases of CIs were in customer service, sales, travel and bookings, education, healthcare and as voice assistants. The most prominent challenges faced by CIs were poor usability, language processing and understanding, speech recognition and natural language generation and security and privacy. As a conclusion, the future looks promising for CIs, however, they need to be furher researched and developed in order to help them reach a widespread use in the future.
Konversation Gränssnitt (CIs) har varit ett trendande ämne de senaste åren. Sedan det senaste decenniet har CIs kommit fram i syfte att förenkla interaktioner mellan människor och maskiner och har hittat ett brett användningsfall på marknaden. Det digitala landskapet har utvecklats från webb, till mobila appar till nyligen CI. Numera blir CIs, i synnerhet chatbots och voicebots, allt vanligare. Vare sig du navigerar på webben eller meddelanden i en telefon, är det troligt att CIs har konfronterats med att erbjuda användaren hjälp.CIs har dock inte lyckats uppnå storskalig användning. Dessutom är orsakerna till de utmaningar som CIs står inför och deras användbarhet inte utforskas i hög grad. I den här avhandlingen undersöker vi de mest relevanta användningarna av CIs och orsakerna till en utbredd användning av CIs. Vårt mål är att ge en inblick i CI: s användningar och lista orsakerna till de utmaningar som CIs står inför. Forskningsstudien följde en blandad metodstrategi som ansluter en utforskande kvalitativ litteraturstudie, en undersökning och en intervju. Uppgifterna samlades in med hjälp av en systematisk kartläggningsätt för att göra dem mer lämpliga för att genomföra en effektiv litteraturgranskning. Undersökningen och intervjun genomfördes för att bekräfta resultaten.Enligt vår forskning konstaterades att de vanligaste användningsfallen för CIs var kundservice, försäljning, resor och bokningar, utbildning, sjukvård och som röstassistenter. De mest framstående utmaningarna för CIs var dålig användbarhet, språkhantering och förståelse, taligenkänning och naturlig språkgenerering och säkerhet och integritet. Sammanfattningsvis ser framtiden lovande ut för CIs, men de måste undersökas och utvecklas ytterligare för att hjälpa dem att uppnå utbredd användning i framtiden.

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Dissertations / Theses on the topic 'Artificial Intelligence technology'

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