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Dissertations / Theses on the topic 'Artificial general intelligence AGI'

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Published: 4 June 2025

Last updated: 1 August 2025

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1

Adolfsson, Lovisa. "How will Artificial Intelligence impact the labour market, which jobs will be replaced and what will it mean for society, within the next decade?" Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-412832.

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This study examines the impact of Artificial Intelligence on the Labour Market within the next decade. Methods and limitations in the technology and their correlation to work, as well as the possible developments likely to be seen in the coming decade, is presented. It also looks at whether Artificial General Intelligence (a system that meet human performance in all fields) could be invented in the next ten years. So far, methods like machine-, deep- and reinforcement learning has resulted in systems that sometimes exceed human performance but are narrow in skill and proficiency. Meaning that

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2

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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<p> 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

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Bresilla, Kushtrim <1988&gt. "Sensors, Robotics and Artificial Intelligence in Precision Orchard Management (POM)." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2019. http://amsdottorato.unibo.it/8980/1/BRESILLA_DISSERTATION.pdf.

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Image/video processing for fruit detection in the tree using hard-coded feature extraction algorithms has shown high accuracy on fruit detection during recent years. While accurate, these approaches even with high-end hardware are still computationally intensive and too slow for real-time systems. This paper details the use of deep convolution neural networks architecture based on single-stage detectors. Using deep-learning techniques eliminates the need for hard-code specific features for specific fruit shapes, color and/or other attributes. This architecture takes the input image and divides

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4

Gkiokas, Alexandros. "Imitation learning in artificial intelligence." Thesis, University of Warwick, 2016. http://wrap.warwick.ac.uk/94683/.

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Acquiring new knowledge often requires an agent or a system to explore, search and discover. Yet us humans build upon the knowledge of our forefathers, as did they, using previous knowledge; there does exist a mechanism which allows transference of knowledge without searching, exploration or discovery. That mechanism is known as imitation and it exists everywhere in nature; in animals, insects, primates, and humans. Enabling artificial, cognitive and software agents to learn by imitation could potentially be crucial to the emergence of the field of autonomous systems, robotics, cyber-physical

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5

Gwyn, Bryan James. "The use of artificial intelligence techniques for power analysis." Thesis, City University London, 1999. http://openaccess.city.ac.uk/8281/.

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This thesis reports the research carried out into the use of Artificial Intelligence techniques for Power System Analysis. A number of aspects of Power System analysis and its management are investigated and the application of Artificial Intelligence techniques is researched. The use of software tools for checking the application of power system protection systems particularly for complex circuit arrangements was investigated. It is shown that the software provides a more accurate and efficient way of carrying out these investigations. The National Grid Company's (plc, UK) use of software tool

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Chen, Su Liang. "Development of automated bearing condition monitoring using artificial intelligence techniques." Thesis, University of Southampton, 2009. https://eprints.soton.ac.uk/195557/.

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A recent series of tapered roller bearing tests have been conducted at the University of Southampton to evaluate the effectiveness of using multiple sensing technologies to detect incipient faults. The test rig was instrumented with on-line sensors including vibration, temperature and electrostatic wear and oil-line debris sensors. Off-line techniques were also used such as debris analysis and bearing surface examination. The electrostatic sensors, in particular, have the potential to detect early decay of tribological contacts within rolling element bearings. These sensors have the unique abi

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7

Loghry, John Brendan. "The recreation of consciousness| Artificial intelligence and human individuation." Thesis, Pacifica Graduate Institute, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3605083.

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<p> Starting from Edward Edinger's portrayal of Jung's process of individuation as the creation of consciousness, this dissertation asks in what ways the creation of artificial intelligence (AI) can be seen as the recreation of consciousness, and specifically whether the AI's maturation from nonconsciousness to something equivalent to consciousness will have an analogous effect on humanity's development out of unconsciousness toward a greater state of cognitive freedom. Taking a functional perspective, this dissertation asks whether B. F. Skinner's metaphor of the human psyche as a black box,

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Calado, Joao Manuel Ferreira. "On-line fault diagnosis of industrial processes based on artificial intelligence techniques." Thesis, City University London, 1996. http://openaccess.city.ac.uk/7773/.

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In this research the application of artificial intelligence techniques for on-line process control and fault detection and diagnosis are investigated. The majority of the research is on using artificial intelligence techniques in on-line fault detection and diagnosis of industrial processes. Several on-line approaches, including a rule based controller and several fault detection and diagnosis systems, have been developed and implemented and are described throughout this thesis. The research results obtained demonstrate that rule based controllers can be an alternative in situations where conv

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9

Ånséhn, Ludvig. "Preferensutilitaristisk AGI : En analys av Stuart Russells lösningsförslag på kontrollproblemet." Thesis, Uppsala universitet, Avdelningen för praktisk filosofi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-433392.

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Al-Mayyahi, Auday Basheer Essa. "Motion control of unmanned ground vehicle using artificial intelligence." Thesis, University of Sussex, 2018. http://sro.sussex.ac.uk/id/eprint/76665/.

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The aim of this thesis is to solve two problems: the. trajectory tracking and navigation, for controlling the motion of unmanned ground vehicles (UGV). Such vehicles are usually used in industry for assisting automated production process or delivery services to improve and enhance the quality and efficiency. With regard to the trajectory tracking problem, the main task is to design a new method that is capable of minimising trajectory-tracking errors in UGV. To achieve this, a comprehensive mathematical model needs to be established that contains kinematic and dynamic characteristics beside ac

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Ling, Nai Man. "The application of artificial intelligence and distributed control to a robotic workcell /." Thesis, McGill University, 1989. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=55617.

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12

Uraz, Irtek. "Optimization Of Well Placement In Complex Carbonate Reservoirs Using Artificial Intelligence." Master's thesis, METU, 2004. http://etd.lib.metu.edu.tr/upload/3/12605893/index.pdf.

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This thesis proposes a framework for determining the optimum location of an injection well by using an inference method, Artificial Neural Networks and a search algorithm to create a search space and locate the global maxima. Theoretical foundation of the proposed framework is followed by description of the field for case study. A complex carbonate reservoir, having a recorded geothermal production history is used to evaluate the proposed framework ( Kizildere Geothermal field, Turkey). In the proposed framework, neural networks are used as a tool to replicate the behavior of commercial simula

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13

Jackson, Susan Amani. "A general methodology for designing and developing Intelligent Database Decision Aids, with application to medicine." Thesis, De Montfort University, 1995. http://hdl.handle.net/2086/10687.

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After more than twenty years of development effort in expert and knowledge-based applications, there are indications of a growing uncertainty in the practical potential of such systems, especially within medical domains. Many difficulties have arisen from attempting to model human experts. These are particularly evident when considering unformalised or nonstandardised domains which are common characteristics of many specialist medical fields. Moreover, little attention has been paid to the prospective users of these systems, the tasks which are routinely undertaken or the environment in which

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Michael, Christoph Cornelius. "General methods for analyzing machine learning sample complexity." W&M ScholarWorks, 1994. https://scholarworks.wm.edu/etd/1539623860.

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During the past decade, there has been a resurgence of interest in applying mathematical methods to problems in artificial intelligence. Much work has been done in the field of machine learning, but it is not always clear how the results of this research should be applied to practical problems. Our aim is to help bridge the gap between theory and practice by addressing the question: "If we are given a machine learning algorithm, how should we go about formally analyzing it?" as opposed to the usual question: "how do we write a learning algorithm we can analyze?".;We will consider algorithms th

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Quick, R. J. "An analysis of the use of general methods to assess the difficulty of function optimization for genetic algorithms." Thesis, University of East Anglia, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.249447.

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Bunting, John W. "An expert system version of a textbook of general practice medicine, to help with tutoring and decision support." Thesis, University of Sheffield, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.369992.

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17

Miles, John Arthur Henry. "Artificial intelligence applied to data fusion and situation assessment for command and control." Thesis, University of Southampton, 1988. https://eprints.soton.ac.uk/52251/.

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18

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 reaso

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19

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 theo

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Kalantari, John I. "A general purpose artificial intelligence framework for the analysis of complex biological systems." Diss., University of Iowa, 2017. https://ir.uiowa.edu/etd/5953.

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This thesis encompasses research on Artificial Intelligence in support of automating scientific discovery in the fields of biology and medicine. At the core of this research is the ongoing development of a general-purpose artificial intelligence framework emulating various facets of human-level intelligence necessary for building cross-domain knowledge that may lead to new insights and discoveries. To learn and build models in a data-driven manner, we develop a general-purpose learning framework called Syntactic Nonparametric Analysis of Complex Systems (SYNACX), which uses tools from Bayesian

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Nardin, Alessio <1996&gt. "Artificial Intelligence as a General Purpose Technology: an exploratory analysis of PCT patents." Master's Degree Thesis, Università Ca' Foscari Venezia, 2021. http://hdl.handle.net/10579/19003.

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La presente tesi si propone di esplorare alcune delle questioni riguardanti l'impatto dell'Intelligenza Artificiale sull'innovazione. In particolare, indaga se l'IA possa essere considerata sia come una General Purpose Technology che come un innovativo strumento di ricerca, una categoria tecnologica definita nella letteratura come "General Method of Inventing" . L'IA causerà perturbazioni economiche e sociali, mentre favorirà la crescita economica e lo sviluppo tecnologico. Dopo un'introduzione storica e concettuale sulle meccaniche dell'IA e una presentazione delle istituzioni che regolano l'

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22

Knight, Peter Robin. "Artificial intelligence and mathematical models for intelligent management of aircraft data." Thesis, University of Southampton, 2012. https://eprints.soton.ac.uk/355717/.

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Increasingly, large volumes of aircraft data are being recorded in an effort to adapt aircraft maintenance procedures from being time-based towards condition-based techniques. This study uses techniques of artificial intelligence and develops mathematical models to analyse this data to enable improvements to be made in aircraft management, affordability, availability, airworthiness and performance. In addition, it highlights the need to assess the integrity of data before further analysis and presents the benefits of fusing all relevant data sources together. The research effort consists of th

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23

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 t

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24

Bieszczad, Andrzej Carleton University Dissertation Engineering Systems and Computer. "Neuromorphic distributed general problem solvers." Ottawa, 1996.

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25

Jabbar, Shaima Ibraheem. "Automated analysis of ultrasound imaging of muscle and tendon in the upper limb using artificial intelligence methods." Thesis, Keele University, 2018. http://eprints.keele.ac.uk/5433/.

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Accurate estimation of geometric musculoskeletal parameters from medical imaging has a number of applications in healthcare analysis and modelling. In vivo measurement of key morphological parameters of an individual’s upper limb opens up a new era for the construction of subject-specific models of the shoulder and arm. These models could be used to aid diagnosis of musculoskeletal problems, predict the effects of interventions and assist in the design and development of medical devices. However, these parameters are difficult to evaluate in vivo due to the complicated and inaccessible nature

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Nifong, Nathaniel H. "Learning General Features From Images and Audio With Stacked Denoising Autoencoders." PDXScholar, 2014. https://pdxscholar.library.pdx.edu/open_access_etds/1550.

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One of the most impressive qualities of the brain is its neuro-plasticity. The neocortex has roughly the same structure throughout its whole surface, yet it is involved in a variety of different tasks from vision to motor control, and regions which once performed one task can learn to perform another. Machine learning algorithms which aim to be plausible models of the neocortex should also display this plasticity. One such candidate is the stacked denoising autoencoder (SDA). SDA's have shown promising results in the field of machine perception where they have been used to learn abstract featu

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Martínez, Plumed Fernando. "Incremental and developmental perspectives for general-purpose learning systems." Doctoral thesis, Universitat Politècnica de València, 2016. http://hdl.handle.net/10251/67269.

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[EN] The stupefying success of Artificial Intelligence (AI) for specific problems, from recommender systems to self-driving cars, has not yet been matched with a similar progress in general AI systems, coping with a variety of problems. This dissertation deals with the long-standing problem of creating more general AI systems, through the analysis of their development and the evaluation of their cognitive abilities. Firstly, this thesis contributes with a general-purpose learning system that meets several desirable characteristics in terms of expressiveness, comprehensibility and versatility.

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Schiffel, Stephan. "Knowledge-Based General Game Playing." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-88742.

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The goal of General Game Playing (GGP) is to develop a system, that is able to automatically play previously unseen games well, solely by being given the rules of the game. In contrast to traditional game playing programs, a general game player cannot be given game specific knowledge. Instead, the program has to discover this knowledge and use it for effectively playing the game well without human intervention. In this thesis, we present a such a program and general methods that solve a variety of knowledge discovery problems in GGP. Our main contributions are methods for the automatic constru

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Fors, Mikael, and Madelen Hermelin. "The Difficulty of Designing a General Heuristic Agent Navigation Strategy." Thesis, Uppsala universitet, Informationssystem, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-154690.

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We consider an abstract representation of some environment in which an agent is located. Given a goal sequence, we ask what strategy said agent - utilizing readily available algorithmic tools - should incorporate to successfully find a valid traversal route such that it is optimal in accordance with a predefined error-margin. We present four scenarios that each incorporate aspects common to general navigation to further illustrate some of the difficult problems needed to be solved in any general navigation strategy. Two reinforcement learning and four graph path planning algorithms are studied

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Guler, Altug. "Seismic Vulnerability Assessment Using Artificial Neural Networks." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606067/index.pdf.

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In this study, an alternative seismic vulnerability assessment model is developed. For this purpose, one of the most popular artificial intelligence techniques, Artificial Neural Network (ANN), is used. Many ANN models are generated using 4 different network training functions, 1 to 50 hidden neurons and combination of structural parameters like number of stories, normalized redundancy scores, overhang ratios, soft story indices, normalized total column areas, normalized total wall areas are used to achieve the best assessment performance. Duzce database is used throughout the thesis for tra

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Wu, Qionglin 1964. "Data mining and knowledge discovery in financial research : empirical investigations into currency." Thesis, McGill University, 2001. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=31560.

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Since there exist drawbacks for linear models such as those based on regression techniques, which have been the basis of traditional statistical forecasting models, neural networks are used in this thesis to train and test the input data. This thesis presents a feedforward backpropagation neural network approach to univariate time series analysis. Real world observations of foreign exchange rates in twenty currencies against U.S. dollars have been applied as a study in this experiment. Feedforward connectionist networks have been designed to model daily exchange rates over the period from Janu

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Lew, Roger. "Assessing cognitive workload from multiple physiological measures using wavelets and machine learning." Thesis, University of Idaho, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=3610086.

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<p> The overall safety and reliability of critical systems may be improved if interfaces can be tailored to the current cognitive states of their operators. For this to be realized, online measures of cognitive workload need to be developed. This dissertation proposes that cognitive measures based on physiological indicators provides the most potential in real world environments where task performance is difficult to quantify and operators may not be able to periodically self-report their workload. Here, the primary aim is the development and evaluation of algorithms for identifying cognitive

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Francis, Anthony G. Jr. "Context-sensitive asynchronous memory : a general experience-based method for managing information access in cognitive agents." Diss., Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/9177.

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Banda, Brandon Mathewe. "General Game Playing as a Bandit-Arms Problem: A Multiagent Monte-Carlo Solution Exploiting Nash Equilibria." Oberlin College Honors Theses / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=oberlin1559142912626158.

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Peterson, Justin. "Making novelty normal : a theory of sentence processing." Diss., Georgia Institute of Technology, 1996. http://hdl.handle.net/1853/8241.

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BINDER, THOMAS. "Gland Segmentation with Convolutional Neural Networks : Validity of Stroma Segmentation as a General Approach." Thesis, KTH, Skolan för kemi, bioteknologi och hälsa (CBH), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-246134.

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The analysis of glandular morphology within histopathology images is a crucial step in determining the stage of cancer. Manual annotation is a very laborious task. It is time consuming and suffers from the subjectivity of the specialists that label the glands. One of the aims of computational pathology is developing tools to automate gland segmentation. Such an algorithm would improve the efficiency of cancer diag- nosis. This is a complex task as there is a large variability in glandular morphologies and staining techniques. So far, specialised models have given promising results focusing on

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Sirin, Volkan. "Machine Learning Methods For Opponent Modeling In Games Of Imperfect Information." Master's thesis, METU, 2012. http://etd.lib.metu.edu.tr/upload/12614630/index.pdf.

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This thesis presents a machine learning approach to the problem of opponent modeling in games of imperfect information. The efficiency of various artificial intelligence techniques are investigated in this domain. A sequential game is called imperfect information game if players do not have all the information about the current state of the game. A very popular example is the Texas Holdem Poker, which is used for realization of the suggested methods in this thesis. Opponent modeling is the system that enables a player to predict the behaviour of its opponent. In this study, opponent modeling p

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Ravi, Sumved Reddy. "Naturally Generated Decision Trees for Image Classification." Thesis, Virginia Tech, 2021. http://hdl.handle.net/10919/104884.

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Image classification has been a pivotal area of research in Deep Learning, with a vast body of literature working to tackle the problem, constantly striving to achieve higher accuracies. This push to reach achieve greater prediction accuracy however, has further exacerbated the black box phenomenon which is inherent of neural networks, and more for so CNN style deep architectures. Likewise, it has lead to the development of highly tuned methods, suitable only for a specific data sets, requiring significant work to alter given new data. Although these models are capable of producing highly accu

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Sazonau, Viachaslau. "General terminology induction in description logics." Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/general-terminology-induction-in-description-logics(63142865-d610-4041-84fa-764af1759554).html.

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In computer science, an ontology is a machine-processable representation of knowledge about some domain. Ontologies are encoded in ontology languages, such as the Web Ontology Language (OWL) based on Description Logics (DLs). An ontology is a set of logical statements, called axioms. Some axioms make universal statements, e.g. all fathers are men, while others record data, i.e. facts about specific individuals, e.g. Bob is a father. A set of universal statements is called TBox, as it encodes terminology, i.e. schema-level conceptual relationships, and a set of facts is called ABox, as it encod

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Haufe, Sebastian. "Automated Theorem Proving for General Game Playing." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-89998.

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While automated game playing systems like Deep Blue perform excellent within their domain, handling a different game or even a slight change of rules is impossible without intervention of the programmer. Considered a great challenge for Artificial Intelligence, General Game Playing is concerned with the development of techniques that enable computer programs to play arbitrary, possibly unknown n-player games given nothing but the game rules in a tailor-made description language. A key to success in this endeavour is the ability to reliably extract hidden game-specific features from a given gam

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Euphrasie, Pierre-François. "Contribution à l'élaboration d'un droit civil du robot." Electronic Thesis or Diss., Bordeaux, 2023. http://www.theses.fr/2023BORD0449.

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Le robot est une fabrication dont la complexité scientifique ne semble pouvoir être saisie que par des matières spéciales telles que le droit du numérique, le droit de l’informatique, le droit de la propriété industrielle… Est-il pourtant possible de l’appréhender à l’aune de la matière plus générale qu’est le droit civil ? La thèse se propose de montrer que les théories et concepts du civiliste le permettent, à quelques ajustements près. D’abord, l’interprétation des sources juridiques permet de déterminer des critères d’une définition juridique du robot, qui est finalement une fabrication ap

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Michulke, Daniel. "Evaluation Functions in General Game Playing." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2012. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-90566.

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While in traditional computer game playing agents were designed solely for the purpose of playing one single game, General Game Playing is concerned with agents capable of playing classes of games. Given the game's rules and a few minutes time, the agent is supposed to play any game of the class and eventually win it. Since the game is unknown beforehand, previously optimized data structures or human-provided features are not applicable. Instead, the agent must derive a strategy on its own. One approach to obtain such a strategy is to analyze the game rules and create a state evaluation funct

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Fröcklin, Henry. "Computational model for morality and emotions in EmoBN." Thesis, Linköpings universitet, Medie- och Informationsteknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-112096.

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This master thesis presents an approach on how to design moral behaviour in a scenario with een. een is an iteration of emobn which is based on bn, an action selection system with activation dynamics among modules, goal oriented and capable of prediction and planing. The design is based on current research from prominent psychologist like Haidt and uses Mikhial’s umg framework for causal and intentional validation. Also Roseman’s appraisal model and Haidt’s mft is used for determining moral emotions in a moral context. The design is tested against empirical results from philosophical experimen

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Basaran, Dilek. "Design, Production And Development Of Mini/micro Robots To Form A Cooperative Colony." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/1058874/index.pdf.

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Design, production and development of individual mini/micro robots and then formation of their cooperative colony are the main topics of this thesis. The produced mini/micro robots are as small and light as possible. In addition, they are multifunctional (programmable), flexible and intelligent while maintaining a very low production cost. Mini/micro robots, called MinT-DB series are able to communicate with each other to work cooperatively. Moreover, these robots can be the basis for the future studies considering the application of artificial intelligence and modeling of live colonies in the

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Derveeuw, Julien. "Simulation multi-agents de marchés financiers." Phd thesis, Université des Sciences et Technologie de Lille - Lille I, 2008. http://tel.archives-ouvertes.fr/tel-00839383.

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Les simulations par agents, ou centrées individu, permettent, par opposition aux modèles centrés groupe, de prendre en compte la manière dont les entités composant un sys- tème interagissent entre elles et ainsi de faire le lien entre ses niveaux microscopiques et macroscopiques. Les marchés financiers, bien qu'étant des systèmes composés de nombreuses entités en interaction, sont souvent étudiés à l'aide de modèle centrés groupe, qui montrent leur limites lorsqu'il s'agit d'expliquer l'émergence de certains phénomènes observables dans les séries de prix. Nous proposons par conséquent un modèl

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Ma, Lin. "Structures et aléa en finance, une approche par la complexité algorithmique de l'information." Phd thesis, Université des Sciences et Technologie de Lille - Lille I, 2010. http://tel.archives-ouvertes.fr/tel-00839386.

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Cette thèse s'interroge sur les notions d'aléa et de régularité des variations boursières. Nous démontrons sur le plan théorique, la compatibilité des principales théories financières (cf. efficience informationnelle, finance comportementale et approche conventionnaliste) avec l'impossibilité de battre la stratégie "buy and hold". Cette impossibilité est confirmée par les études statistiques dans la mesure où les régularités identifiées dans les séries financières ne permettent pas de prédire le sens des variations futures. Les modèles économétriques disponibles à présent offrent souvent un "h

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Lindgren, Helena. "Decision support in dementia care : developing systems for interactive reasoning." Doctoral thesis, Umeå : Datavetenskap Computing Science, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1138.

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Contreras, Ochando Lidia. "Towards Data Wrangling Automation through Dynamically-Selected Background Knowledge." Doctoral thesis, Universitat Politècnica de València, 2021. http://hdl.handle.net/10251/160724.

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[ES] El proceso de ciencia de datos es esencial para extraer valor de los datos. Sin embargo, la parte más tediosa del proceso, la preparación de los datos, implica una serie de formateos, limpieza e identificación de problemas que principalmente son tareas manuales. La preparación de datos todavía se resiste a la automatización en parte porque el problema depende en gran medida de la información del dominio, que se convierte en un cuello de botella para los sistemas de última generación a medida que aumenta la diversidad de dominios, formatos y estructuras de los datos. En esta tesis nos e

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Daswani, Mayank. "Generic Reinforcement Learning Beyond Small MDPs." Phd thesis, 2015. http://hdl.handle.net/1885/110545.

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Feature reinforcement learning (FRL) is a framework within which an agent can automatically reduce a complex environment to a Markov Decision Process (MDP) by finding a map which aggregates similar histories into the states of an MDP. The primary motivation behind this thesis is to build FRL agents that work in practice, both for larger environments and larger classes of environments. We focus on empirical work targeted at practitioners in the field of general reinforcement learning, with theoretical results wherever necessary.

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Everitt, Tom. "Towards Safe Artificial General Intelligence." Phd thesis, 2018. http://hdl.handle.net/1885/164227.

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The field of artificial intelligence has recently experienced a number of breakthroughs thanks to progress in deep learning and reinforcement learning. Computer algorithms now outperform humans at Go, Jeopardy, image classification, and lip reading, and are becoming very competent at driving cars and interpreting natural language. The rapid development has led many to conjecture that artificial intelligence with greater-than-human ability on a wide range of tasks may not be far. This in turn raises concerns whether we know how to control such systems, in

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