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Dissertations / Theses on the topic 'Intelligent Software Agent'

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1

Church, Lori A. "Decision support for software process management teams : an intelligent software agent approach /." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2000. http://handle.dtic.mil/100.2/ADA377649.

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Thesis (M.S. in Software Engineering) Naval Postgraduate School, March 2000.
Thesis advisor(s): Michael, James Bret; Osmundson, John S. "March 2000." Includes bibliographical references (p. 111-115). Also available online.
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2

Hu, Yuebing, and 胡跃冰. "Consensus control of multi-agent systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B4658657X.

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3

Filipe, Joaquim Belo Lopes. "Normative organisational modelling using intelligent multi-agent systems." Thesis, Staffordshire University, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.327505.

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4

Rahwan, Iyad. "Interest-based negotiation in multi-agent systems." Connect to thesis, 2004. http://repository.unimelb.edu.au/10187/2885.

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Software systems involving autonomous interacting software entities (or agents) present new challenges in computer science and software engineering. A particularly challenging problem is the engineering of various forms of interaction among agents. Interaction may be aimed at enabling agents to coordinate their activities, cooperate to reach common objectives, or exchange resources to better achieve their individual objectives. This thesis is concerned with negotiation: a process through which multiple self-interested agents can reach agreement over the exchange of scarce resources. In particular, I focus on settings where agents have limited or uncertain information, precluding them from making optimal individual decisions. I demonstrate that this form of bounded-rationality may lead agents to sub-optimal negotiation agreements. I argue that rational dialogue based on the exchange of arguments can enable agents to overcome this problem. Since agents make decisions based on particular underlying reasons, namely their interests, beliefs and planning knowledge, then rational dialogue over these reasons can enable agents to refine their individual decisions and consequently reach better agreements. I refer to this form of interaction as “interested-based negotiation.” (For complete abstract open document)
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Lin, Chia-En. "A Comparison of Agent-Oriented Software Engineering Frameworks and Methodologies." Thesis, University of North Texas, 2003. https://digital.library.unt.edu/ark:/67531/metadc4411/.

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Agent-oriented software engineering (AOSE) covers issues on developing systems with software agents. There are many techniques, mostly agent-oriented and object-oriented, ready to be chosen as building blocks to create agent-based systems. There have been several AOSE methodologies proposed intending to show engineers guidelines on how these elements are constituted in having agents achieve the overall system goals. Although these solutions are promising, most of them are designed in ad-hoc manner without truly obeying software developing life-cycle fully, as well as lacking of examinations on agent-oriented features. To address these issues, we investigated state-of-the-art techniques and AOSE methodologies. By examining them in different respects, we commented on the strength and weakness of them. Toward a formal study, a comparison framework has been set up regarding four aspects, including concepts and properties, notations and modeling techniques, process, and pragmatics. Under these criteria, we conducted the comparison in both overview and detailed level. The comparison helped us with empirical and analytical study, to inspect the issues on how an ideal agent-based system will be formed.
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6

Martin, Cheryl Elizabeth Duty. "Adaptive decision-making frameworks for multi-agent systems." Access restricted to users with UT Austin EID, 2001. http://wwwlib.umi.com/cr/utexas/fullcit?p3023557.

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7

Tran, Quynh Nhu Information Systems Technology &amp Management Australian School of Business UNSW. "MOBMAS - A methodology for ontology-based multi-agent systems development." Awarded by:University of New South Wales. School of Information Systems, Technology and Management, 2005. http://handle.unsw.edu.au/1959.4/24254.

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???Agent-based systems are one of the most vibrant and important areas of research and development to have emerged in information technology in the 1990s??? (Luck et al. 2003). The use of agents as a metaphor for designing and constructing software systems represents an innovative movement in the field of software engineering: ???Agent- Oriented Software Engineering (AOSE)??? (Lind 2000; Luck et al. 2003). This research contributes to the evolution of AOSE by proposing a comprehensive ontology-based methodology for the analysis and design of Multi-Agent Systems (MAS). The methodology is named MOBMAS, which stands for ???Methodology for Ontology-Based MASs???. A major improvement of MOBMAS over the existing agentoriented MAS development methodologies is its explicit and extensive support for ontology-based MAS development. Ontologies have been widely acknowledged for their significant benefits to interoperability, reusability, MAS development activities (such as system analysis and agent knowledge modelling) and MAS operation (such as agent communication and reasoning). Recognising these desirable ontology???s benefits, MOBMAS endeavours to identify and implement the various ways in which ontologies can be used in the MAS development process and integrated into the MAS model definitions. In so doing, MOBMAS has exploited ontologies to enhance its MAS development process and MAS development product with various strengths. These strengths include those ontology???s benefits listed above, and those additional benefits uncovered by MOBMAS, e.g. support for verification and validation, extendibility, maintainability and reliability. Compared to the numerous existing agent-oriented methodologies, MOBMAS is the first that explicitly and extensively investigates the diverse potential advantages of ontologies in MAS development, and which is able to implement these potential advantages via an ontology-based MAS development process and a set of ontology-based MAS model definitions. Another major contribution of MOBMAS to the field of AOSE is its ability to address all key concerns of MAS development in one methodological framework. The methodology provides support for a comprehensive list of methodological requirements, which are important to agent-oriented analysis and design, but which may not be wellsupported by the current methodologies. These methodological requirements were identified and validated by this research from three sources: the existing agent-oriented methodologies, the existing evaluation frameworks for agent-oriented methodologies and conventional system development methodologies, and a survey of practitioners and researchers in the field of AOSE. MOBMAS supports the identified methodological requirements by combining the strengths of the existing agent-oriented methodologies (i.e. by reusing and enhancing the various strong techniques and model definitions of the existing methodologies where appropriate), and by proposing new techniques and model definitions where necessary. The process of developing MOBMAS consisted of three sequential research activities. The first activity identified and validated a list of methodological requirements for an Agent Oriented Software Engineering methodology as mentioned above. The second research activity developed MOBMAS by specifying a development process, a set of techniques and a set of model definitions for supporting the identified methodological requirements. The final research activity evaluated and refined MOBMAS by collecting expert reviews on the methodology, using the methodology on an application and conducting a feature analysis of the methodology.
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8

House, Terry Carl. "A Model and Intelligent Software Agent for the Selection and Implementation of Open Source Software." NSUWorks, 2009. http://nsuworks.nova.edu/gscis_etd/180.

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In this study, the researcher created a model and software application for identifying the factors that are relevant in the decision making process to select and implement Open-source applications in higher education. Open-source applications provide the programming syntax to the user for customization. Unlike proprietary software, where the source code is unavailable and illegal to alter, an Open-Source Software (OSS) application authorizes the user to edit and recompile the application to meet the specific needs of the institution or organization. OSS applications are either free or purchasable for a one-time fee. The rising cost of proprietary software has motivated many academic institutions to consider implementing OSS. Many IT professionals are investigating the advantages and disadvantages of open-source applications in an attempt to mitigate expensive yearly fees, licensures and maintenance costs required by proprietary software vendors. The data collected in the study represented OSS and non-OSS enabled institutions that were members of the Council of Higher Education and Accreditation (CHEA) Organization. Of the data collected from the institutions, a portion of the information was set aside for validation purposes. The model created in this research addressed the OSS concerns in higher education by identifying the experiences, institutional characteristics, and technical systems relevant to the selection and implementation of OSS applications. The researcher used the Visual Basic .NET programming language to create the model and software application that provided academic institutions with technical OSS information and support. The Intelligent Software Agent (ISA) simplified the data analysis process by providing a Graphical User Interface (GUI) for the user to enter and receive data. The results of this research allowed institutions to specify certain criteria such as highest degree awarded, relevant characteristics, and technological factors and then receive implementation suggestions for adopting OSS applications. The validation process indicated that the tabled data in the model and generated suggestions of the ISA were statistically comparable with the data that was set-aside for validation purposes.
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9

Gao, Shijia. "Intelligent agent assisted decision support for family financial planning /." access full-text access abstract and table of contents, 2005. http://libweb.cityu.edu.hk/cgi-bin/ezdb/thesis.pl?mphil-is-b19887735a.pdf.

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Thesis (M.Phil.)--City University of Hong Kong, 2005.
"Submitted to Department of Information Systems in partial fulfillment of the requirements for the degree of Master of Philosophy" Includes bibliographical references (leaves 114-132)
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Yeung, Chi-Ho. "Application of statistical physics on agent dynamics in multi-agent systems and resource allocation in random networks /." View abstract or full-text, 2006. http://library.ust.hk/cgi/db/thesis.pl?PHYS%202006%20YEUNG.

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11

Chen, Wei. "Designing an extended set of coordination mechanisms for multi-agent systems." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file 1.46 Mb., 240 p, 2006. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:3200551.

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12

Qi, Dehu. "Multi-agent systems : integrating reinforcement learning, bidding and genetic algorithms /." free to MU campus, to others for purchase, 2002. http://wwwlib.umi.com/cr/mo/fullcit?p3060133.

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13

Kumar, Sanjeev. "A formal semantics of teamwork and multi-agent conversations as the basis of a language for programming teams of autonomous agents /." Full text open access at:, 2006. http://content.ohsu.edu/u?/etd,17.

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14

Oluyomi, Ayodele. "Patterns and protocols for agent oriented software development /." Connect to thesis, 2006. http://eprints.unimelb.edu.au/archive/00002780.

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15

Chrysanthakopoulos, Georgios. "A fuzzy-logic autonomous agent, applied as a supervisory controller in a simulated environment /." Thesis, Connect to this title online; UW restricted, 2000. http://hdl.handle.net/1773/6044.

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16

Hartness, Ken T. N. "Adaptive Planning and Prediction in Agent-Supported Distributed Collaboration." Thesis, University of North Texas, 2004. https://digital.library.unt.edu/ark:/67531/metadc4702/.

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Agents that act as user assistants will become invaluable as the number of information sources continue to proliferate. Such agents can support the work of users by learning to automate time-consuming tasks and filter information to manageable levels. Although considerable advances have been made in this area, it remains a fertile area for further development. One application of agents under careful scrutiny is the automated negotiation of conflicts between different user's needs and desires. Many techniques require explicit user models in order to function. This dissertation explores a technique for dynamically constructing user models and the impact of using them to anticipate the need for negotiation. Negotiation is reduced by including an advising aspect to the agent that can use this anticipation of conflict to adjust user behavior.
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Kostias, Aristotelis, and Georgios Tagkoulis. "Development of an Artificial Intelligent Software Agent using Artificial Intelligence and Machine Learning Techniques to play Backgammon Variants." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-251923.

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Artificial Intelligence has seen enormous progress in many disciplines in the recent years. Particularly, digitalized versions of board games require artificial intelligence application due to their complex decision-making environment. Game developers aim to create board game software agents which are intelligent, adaptive and responsive. However, the process of designing and developing such a software agent is far from straight forward due the nature and diversity of each game. The thesis examines and presents a detailed procedure of constructing a software agent for backgammon variants, using temporal difference, artificial neural networks and backpropagation. Different artificial intelligence and machine learning algorithms used in board games, are overviewed and presented. Finally, the thesis describes the development and implementation of a software agent for the backgammon variant called Swedish Tables and evaluates its performance.
Artificiell intelligens har sett enorma framsteg inom många discipliner de senare åren. Speciellt, digitaliserade brädspel kräver implementering av Artificiell intelligens då deras beslutfattande logik är väldigt komplex. Dataspelutvecklarnas syfte och mål är att skapa programvaror som är intelligenta, adaptiva och lyhörda. Dock konstruktionsoch utvecklingsprocess för att kunna skapa en sådan mjukvara är långtifrån att vara faställd, mest på grund av diversitet av naturen av varje spel. Denna avhandlingen forskar och föreslår en detaljerad procedur för att bygga en "Software Agent" för olika slags Backagammon, genom att använda AI neurala nätvärk och back-propagation metoder. Olika artificiell intelligensoch maskininlärningsalgoritmer som används i brädspel forskas och presenteras. Slutligen denna avhandling beskriver implementeringen och utvecklingen av ett mjukvaru agent för en backgammonvariant, närmare bestämt av "Svenska Tabeller" samt utvärderar dess prestanda.
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18

Akcay, Bugrahan. "An Agent-based Alert Distribution System For Intelligent Healthcare Monitoring." Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/2/12607257/index.pdf.

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With the high-level developments in the information technologies, there is a big movement in the e-health area both to give better healthcare services and to reduce cost. Monitoring the patients from their home location is one of the important branches of e-health with the aging societies. In this work, an agentbased alert system is introduced which analyzes the alert message requests and sends the alert messages within the appropriate structure and communication channel to the related healthcare user. A guideline execution system produces the alert requests based on sensor data and informs the alert agents. A multi-agent platform is developed which proactively sends the alert messages on behalf of the system with acknowledgement and message routing abilities. The multi-agent platform has patient alert agents for each patient in the system. A rule engine is cooperated with agents for the analysis of the alert message requests to bind these requests with the healthcare user specifications. E-mail messaging, SMS and MSN Instant messaging are used to reach the healthcare users. Additionally, web-based user interfaces are developed for healthcare users to manage the alert system for intelligent healthcare monitoring by specifying alert message receiving rules, personal and contact information, and some more additional options. The work presented in this thesis is realized as a part of the SAPHIRE project funded by the European Commission.
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Foster, Kate Yvonne, and kate foster@dsto defence gov au. "An investigation of the use of past experience in single and multiple agent learning classifier systems." Swinburne University of Technology. Centre for Intelligent Systems & Complex Processes, 2005. http://adt.lib.swin.edu.au./public/adt-VSWT20051117.112922.

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The field of agent control is concerned with the design and implementation of components that form an agent's control architecture. The interaction between these components determines how an agent?s sensor data and internal state combine to direct how the agent will act. Rule-based systems couple sensing and action in the form of condition-action rules and one class of such systems, learning classifier systems, has been extensively used in the design of adaptive agents. An adaptive agent explores an often unknown environment and uses its experience in its environment with the aim of improving its performance over time. The data an adaptive agent receives regarding the current state of its environment might be limited and ambiguous. In learning classifier systems, three different approaches to the problem of limited and ambiguous data from the environment have been: (1) to enable the agent to learn from its past experience, (2) to develop sequences of rules (in which rules may be linked implicitly or explicitly) and (3) multiagent LCSs. This thesis investigates the use of an adaptive agent?s past experience as a resource with which to perform a number of functions internal to the agent. These functions involve developing explicit sequences of rules, detecting and escaping from infinite loops, and firing and reinforcing rules. The first part of this thesis documents the design, implementation and evaluation of a control system that incorporates these functions. The control system is realised as a learning classifier system and is evaluated through experiments in a number of environments that provide limited and ambiguous stimuli. These experiments test the impact of explicit sequences of rules on the performance of a learning classifier system more thoroughly than previous research achieved. The use of explicit sequences of rules results in mixed performance in these environments and it is shown that while the use of these sequences in simple environments enables the rule space to be more effectively explored, in complex environments the behaviours developed by these sequences result in the agent stagnating more often in corners of the environment. Rather than endowing the rule-base with more rules, as in previous research with explicit sequences of rules, it is proposed that multiple interacting agents may enhance the exploration of the rule space in more complex environments. This approach is taken in the second part of this thesis, where the control system is used with multiple agents that interact by sharing rules. The aim of this interaction is to enhance the rule discovery process through cooperation between agents and thus improve the performance of the agents in their respective environments. It is shown that the benefit obtained from rule sharing is dependent on the environment and the type and amount of rule sharing used and that rule sharing is generally more beneficial in complex environments compared to simple environments. The properties of the rule-bases developed in these environments are examined in order to account for these results and it is shown that the type and amount of rule sharing most useful in each environment are dependent on these properties.
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Burnett, Christopher. "Trust assessment and decision-making in dynamic multi-agent systems." Thesis, University of Aberdeen, 2011. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=167031.

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The concept of trust in multi-agent systems (MASs) has received significant attention in recent years, and a number of approaches have been proposed to enable agents to form, maintain and use trust relationships in their dealings with others.  However, current approaches do not adequately address highly dynamic multi-agent systems, where the population and structure changes frequently.  For example, agents may frequently join and leave, and ad-hoc structures may form in response to emerging situations. In these highly unstable environments, trust can be difficult or impossible to build with existing techniques.  Trust matters most when risk is involved, but in situations of extreme uncertainty, the risk may be too great to permit any interactions, resulting in a breakdown of the system. In this thesis, we propose a general approach for trust evaluation and decision-making in highly dynamic multi-agent systems.  First, we present a model of stereotypes, which allows agents to build tentative trust relationships with others on the basis of visible features.  We show that this approach can help agents to form trust relationships, despite a high degree of social dynamicity.  We present a method of selecting providers of trust evidence, when those providers may be stereotypically biased. Secondly, we present a trust decision-making model which employs controls, as well as trust evaluations and stereotypes, in order to facilitate initial interactions when trust is low or absent, and bootstrap dynamic societies.  We show that control can be used initially to enable interactions.  As trust builds, control can be reduced.  Our approach is general and applicable to existing models of trust in MASs.  We evaluate our model within a simulated multi-agent environment characterised by high degrees of dynamicity and structural change.
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Manzoor, Umar. "An intelligent fault tolerant multi-agent framework for automated node monitoring and software deployment." Thesis, University of Salford, 2011. http://usir.salford.ac.uk/26799/.

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Computer networks today are far more complex than in 1980s and managing such networks is a challenging job for network management team. With the ever growing complexity of computer networks and the limitations of the available assistance softwares / tools, it has become difficult, hectic, and time consuming for the network management team to execute the tasks such as traffic monitoring, node monitoring, performance monitoring, software deployment etc over the network. To address these issues, researchers as well as leading IT companies have moved towards a new paradigm called Autonomic Computing whose main is the development of self- managing systems. Autonomic system makes decision autonomously, constantly optimizes its status and adapts itself to the changing conditions. This research proposes a new autonomic framework based on multi-agent paradigm for autonomous network management. In this study, we particularly focused on monitoring node activities and software deployment, the aims were 1) to minimize the human interaction required to perform these tasks which optimizes the task processing time and reduces human resource requirement, and 2) to overcome some of the major problems (such as autonomous monitoring, autonomous installation for any type/kind of software, etc) related to these tasks. The proposed framework is fully autonomous, has an effective mechanism for achieving the said tasks and is based on Layered architecture. Once initialized with given rules / domain knowledge, it accomplishes the task(s) autonomously without human interaction / intervention. It uses mobile agents for task execution and fault / failure can affect the performance of the system; therefore, to make the system robust fault tolerance mechanism is incorporated at different levels of the system. The framework is implemented in Java using Java Agent Development (JADE) framework and supports platform independence; however, it has been tested and evaluated only on Microsoft Windows environment. In this research, the major challenges faced were 1) capturing unknown malicious applications running over the network, 2) development of generic approach which works for any type / kind of software set, 3) automatic generation of events required in software deployment process and 4) development of efficient approach for application setup transfer over network. The first challenge was related to monitoring node activities which was catered by analyzing the application content (i.e. text, image and video) using text analysis / image processing algorithms. Domain specific ontology was developed and populated using known malicious applications content for categorization purpose. The concepts extracted using the content analysis phase were mapped to domain specific ontology concepts and assigned score. The application was assigned the ontology class (if any) which has the highest score. The other challenges were related to software deployment which were catered by lunching application setup autonomously and for each step, window content (i.e. text, controls) were extracted, filtered using text processing algorithm and classified using rule based classifier. After classification, the appropriate window event was generated autonomously. The reason of using rule based classifier was that software deployment process is standardized and every installer follows the same standard. Furthermore, exponential file transfer algorithm was incorporated in the framework to transfer the application setup smartly and efficiently over the network. We have run this system on experimental basis at the university campus having seven labs equipped with 20-300 number of PCs running Microsoft Windows (any version) in various labs. For automated node monitoring evaluation, initially one hundred volunteers were selected for experimentation in these labs and all of them were told about the system. After initial experimentation, we announced about the system on the university blackboard, walls/doors of the labs etc and open the labs for all users. The announcement clearly states that "Your activities will be monitored and the collected data will be used only for educational/research purpose". The activities were monitored for one month and the monitored data was stored in database for analysis. For Software Deployment evaluation some of the popular softwares (such as Microsoft Office, Adobe Reader, FireFox etc) were deployed. The proposed framework has been tested on different scenarios and results prove that the overall performance of the proposed approach in terms of efficiency and time is far better than existing approaches / frameworks.
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Wang, Tingting. "Multi-agent team competitions and the implementation of a team-strategy." HKBU Institutional Repository, 2006. http://repository.hkbu.edu.hk/etd_ra/772.

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Kang, Shugang. "Multi-agent based beam search for intelligent production planning and scheduling." Click to view the E-thesis via HKUTO, 2007. http://sunzi.lib.hku.hk/hkuto/record/B38977205.

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Li, Xiaoqing Montazemi Ali R. "Agent based buddy finding methodology for knowledge sharing /." *McMaster only, 2003.

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Phelps, John. "Knowledge-Based Task Structure Planning for an Information Gathering Agent." Fogler Library, University of Maine, 2003. http://www.library.umaine.edu/theses/pdf/phelpsJ2003.pdf.

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Chow, Ka-po. "Load-balancing in distributed multi-agent computing /." Hong Kong : University of Hong Kong, 2000. http://sunzi.lib.hku.hk:8888/cgi-bin/hkuto%5Ftoc%5Fpdf?B2295644x.

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Ng, Ka-Ho. "Analyses on the agent dynamics in a model of competition /." View abstract or full-text, 2008. http://library.ust.hk/cgi/db/thesis.pl?PHYS%202008%20NG.

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Anthony, Anish. "A comparison of agent paradigms for resource management in distributed sensor networks." Birmingham, Ala. : University of Alabama at Birmingham, 2007. https://www.mhsl.uab.edu/dt/2008r/anthony.pdf.

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Thesis (Ph. D.)--University of Alabama at Birmingham, 2007.
Additional advisors: Dale W. Callahan, B. Earl Wells, Gary J. Grimes, Roy P. Koomullil. Description based on contents viewed June 10, 2008; title from title screen. Includes bibliographical references (p. 124-129).
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Hopper, S. Andrew. "The Design and Implementation of an Intelligent Agent-Based File System." Thesis, University of North Texas, 2000. https://digital.library.unt.edu/ark:/67531/metadc2523/.

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As bandwidth constraints on LAN/WAN environments decrease, the demand for distributed services will continue to increase. In particular, the proliferation of user-level applications requiring high-capacity distributed file storage systems will demand that such services be universally available. At the same time, the advent of high-speed networks have made the deployment of application and communication solutions based upon an Intelligent Mobile Agent (IMA) framework practical. Agents have proven to present an ideal development paradigm for the creation of autonomous large-scale distributed systems, and an agent-based communication scheme would facilitate the creation of independently administered distributed file services. This thesis thus outlines an architecture for such a distributed file system based upon an IMA communication framework.
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Liu, Hongjin. "Implementation of a multi-agent based power market simulator /." Hong Kong : University of Hong Kong, 2001. http://sunzi.lib.hku.hk:8888/cgi-bin/hkuto%5Ftoc%5Fpdf?B23295235.

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Ting, Yim-Shan. "Efficiency of multi-agent systems with different payoff functions /." View abstract or full-text, 2004. http://library.ust.hk/cgi/db/thesis.pl?PHYS%202004%20TING.

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Thesis (M. Phil.)--Hong Kong University of Science and Technology, 2004.
Includes bibliographical references (leaves 58-59). Also available in electronic version. Access restricted to campus users.
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Kang, Shugang, and 康書剛. "Multi-agent based beam search for intelligent production planning and scheduling." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B38977205.

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Lee, John Ray. "Conversations with an intelligent agent-- modeling and integrating patterns in communications among humans and agents." Diss., University of Iowa, 2006. http://ir.uiowa.edu/etd/61.

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Sharma, Naveen, and n/a. "A multi agent system framework for.NET." University of Canberra. Information Sciences & Engineering, 2005. http://erl.canberra.edu.au./public/adt-AUC20060726.153250.

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This thesis presents an approach to modeling Multi Agent Systems (MAS). A framework and its implementation are presented as an extension to .NET. A number of definitions of agents are evaluated for the purpose of a broad understanding of the term software agent. Software agent has been defined in MAS context and its characteristics are identified and implemented. Motivation factors for building framework for MAS have been discussed. A number of existing technologies are discussed and evaluated. A number of agent systems previously developed are also being discussed in the middle part of the thesis. A model software agent has been defined and its characteristics are divided in two basic categories essential and optional. Its implementation has been distributed into different components throughout the MAS framework. Some of these characteristics are jointly implemented by a number of components and others responsibility rest on the individual components. Detail working of the MAS framework (i.e. what to do, when to do) is explained as guide to develop MAS using MAS framework. The protocols followed by the framework components to make communication possible between them are discussed at components level. The required information for developing MAS using MAS framework are also discussed. It answers the why, when and how questions in regards to using MAS framework A case study on Dynamic Truck Scheduling (DTS) system is discussed, designed and implemented using the MAS framework. DTS System has been used as a prototype application to test and evaluate the framework. DTS also represents a model problem that can be answered by using MAS; complete in-depth details about the problem statement are discussed. It also discusses the design and implementation of the solution along with the test results of the framework. Possible future expansion is presented in light of a number of limitations known of the MAS framework. The code working behind the different components of the MAS framework is given in appendices. Some important standards of XML that are used to pass information between agents and MAS framework components are also given in the format of tables.
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Gustavsson, Linus. "Dynamically Adaptive Intelligent Agents in Driving Simulator Environments." Thesis, Linköping University, Department of Computer and Information Science, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-10361.

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In this thesis work I have been working with two traffic simulators called Hank and ST Software. Hank is a research tool at the University of Iowa and ST Software is a commercial product. To evaluate which of these is the most suitable for behavior research I have implemented three types of intelligent agents: Overtaking Agent, Traffic Light Agent and Meeting Agent. The thesis work was extended by adding the possibility for realistic human behavior to the agents.

The result indicated that Hank allowed for greater control over behavior while ST Software allowed for faster and easier implementation.

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Vázquez-Salceda, Javier. "The role of norms and electronic institutions in multi-agent systems : the HARMONIA framework /." Basel [u.a.]: Birkhäuser, 2004. http://www.loc.gov/catdir/enhancements/fy0812/2004042072-d.html.

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37

Chow, Ka-po, and 周嘉寶. "Load-balancing in distributed multi-agent computing." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B3122426X.

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劉紅進 and Hongjin Liu. "Implementation of a multi-agent based power market simulator." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2001. http://hub.hku.hk/bib/B31224829.

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39

Wang, Zhu Wei. "Multi-agent path finding in an order picking system." Thesis, University of Macau, 2018. http://umaclib3.umac.mo/record=b3950627.

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40

Hu, Bingcheng. "The relationship between local behavior and global characteristics in multi-agent systems." HKBU Institutional Repository, 2006. http://repository.hkbu.edu.hk/etd_ra/667.

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41

Murdock, J. William. "Self-improvment through self-understanding : model-based reflection for agent adaptation." Diss., Georgia Institute of Technology, 2001. http://hdl.handle.net/1853/8225.

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42

Fan, Chi-kit. "Design and analysis of agent-based FMS control systems." Click to view the E-thesis via HKUTO, 2005. http://sunzi.lib.hku.hk/hkuto/record/B31580324.

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43

Günter, Manuel. "Customer-based IP service monitoring with mobile software agents /." Basel [u.a.] : Birkhäuser, 2002. http://www.loc.gov/catdir/enhancements/fy0812/2002074391-d.html.

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44

Lee, Ho-yin, and 李浩賢. "Integrated intelligent management platform for the built environment incorporating agent-based simulation and geographic informationsystem." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2012. http://hub.hku.hk/bib/B47244410.

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In the area of indoor built environment modelling, the main focus was usually put on the accuracy of the modelled equipment within the given environment. There was not enough attention placed on the modelling of occupants inside the building, who represent the ultimate end?users and should be the most important element of an indoor built environment model. This deficiency was mainly due to the difficulties of modelling human behaviour with the traditional mathematical modelling methods usually adopted in the field. Therefore, in order to model the occupants more effectively, a more appropriate alternative approach is needed. This thesis examined the suitability of agent?based modelling and simulation (ABMS) for the indoor built environment. Philosophies of ABMS for the built environment were discussed, with the natural flow of progression stages in indoor built environment models outlined and explored, showing the need for switching a problem of simplicity to one in which a complex organised system was defined. Scenarios of single active agent case in ABMS for indoor built environment were used to demonstrate the effectiveness of this approach, with the finding that ABMS was versatile in modelling different types of occupants. It provided an illustration of the difference between people with different sensation time, and estimated energy savings between occupants with varied understanding of the environment. A classification scheme for different types of indoor built environment models with different levels of complexities was proposed and discussed. Based on the classification scheme, models with different levels of complexities were applied to the same building to explore the feasibility and practicality of the scheme. It was found that the simulation results provided insightful figures on probable energy consumption for different types of occupants and their crowd behaviour when interactions between occupants were considered. Findings included the amount of energy saved (around 10%) by a knowledgeable occupant over a less informed one, and the tendency for the majority (?66%) of occupants trying to save energy by assessing the environment themselves under different conditions. To further assist building management and the implementation of ABMS approach in built environment for simulations, the concepts of geographic information system (GIS) were modified for applications in the indoor environment, based on its similarity with ABMS for a grid?based environment. A prototype program was developed to test the applicability of the proposed concepts, with OPC connectivity for connections to real?world equipment. It was found that the idea of indoor GIS helps to solve problems such as the facility layout problem or the difficulties of information storage/retrieval in facility management, and this concept also integrated well with ABMS. With the successful modelling of different types of occupants and simulation results consistent with real data, it can be concluded from the work that ABMS is a promising approach for future generations of indoor built environment models. Also, with the inspiring framework of indoor GIS, the combination of ABMS and GIS in an integrated platform will certainly bring a powerful tool to the field.
published_or_final_version
Mechanical Engineering
Doctoral
Doctor of Philosophy
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45

Allen, Martin William. "Agent interactions in decentralized environments." Amherst, Mass. : University of Massachusetts Amherst, 2009. http://scholarworks.umass.edu/open_access_dissertations/1.

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The decentralized Markov decision process (Dec-POMDP) is a powerful formal model for studying multiagent problems where cooperative, coordinated action is optimal, but each agent acts based on local data alone. Unfortunately, it is known that Dec-POMDPs are fundamentally intractable: they are NEXP-complete in the worst case, and have been empirically observed to be beyond feasible optimal solution.To get around these obstacles, researchers have focused on special classes of the general Dec-POMDP problem, restricting the degree to which agent actions can interact with one another. In some cases, it has been proven that these sorts of structured forms of interaction can in fact reduce worst-case complexity. Where formal proofs have been lacking, empirical observations suggest that this may also be true for other cases, although less is known precisely.This thesis unifies a range of this existing work, extending analysis to establish novel complexity results for some popular restricted-interaction models. We also establish some new results concerning cases for which reduced complexity has been proven, showing correspondences between basic structural features and the potential for dimensionality reduction when employing mathematical programming techniques.As our new complexity results establish that worst-case intractability is more widespread than previously known, we look to new ways of analyzing the potential average-case difficulty of Dec-POMDP instances. As this would be extremely difficult using the tools of traditional complexity theory, we take a more empirical approach. In so doing, we identify new analytical measures that apply to all Dec-POMDPs, whatever their structure. These measures allow us to identify problems that are potentially easier to solve on average, and validate this claim empirically. As we show, the performance of well-known optimal dynamic programming methods correlates with our new measure of difficulty. Finally, we explore the approximate case, showing that our measure works well as a predictor of difficulty there, too, and provides a means of setting algorithm parameters to achieve far more efficient performance.
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46

Vegah, Godwill. "Software agents support for personalised learning: Negotiating and e-contracting with multiple providers." Thesis, University of Manchester, 2012. https://www.research.manchester.ac.uk/portal/en/theses/software-agents-support-for-personalised-learningnegotiating-and-econtracting-with-multiple-providers(b8aed1dc-2ef8-4458-99d3-f935118fa87b).html.

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E-learning is increasingly adopted to support face-to-face classroom-based learning or implemented as a complete standalone learning system. Its inherent adaptable nature and ability to provide learning anywhere, everywhere and anytime makes it a versatile tool for access to basic, professional and higher education. This research proposes and develops an adaptable e-learning approach, focusing on the learner's requirement specification and negotiation of course with multiple providers to improve online learning. This addresses issues of inflexible learning model, narrow coverage of subject domains in existing systems and ineffective use of educational resources, using design research methodology (DRM). The proposed Intelligent Learning approach provides learning support by applying collaborative and deliberative capabilities of software agents to e-learning systems. Designated learning support agents negotiate with providers on behalf of the learner for courses, matching specified requirements. This is achieved through agent negotiation strategies, devising dynamic learning plans (DPLAN) and online learning contract (or EContract) between the system and a range of providers, to harness the changing needs of the learner, hence, providing an Adaptive Agent Learner Plan (ADALP) approach. It develops and applies a 'Basic Requirements Learning' model, addressing specific learning objectives, supported by a two way evaluation process that enforces learning flexibility, empowering learners and accommodating a wide spectrum of learning needs. Unlike traditional Intelligent Tutoring System (ITS), learning objectives are not fixed and are constituted dynamically from learner specifications. The ADALP approach provides multiple provider support options, generating learner feedback for goal oriented, but flexible learning. This deviates from the traditional 'top-down' approach, where instructors and designers create fixed models of different categories of learners and their needs. The prototype of multi-agent system (MAS) demonstrates contributions of the approach, applying Multi-issue-Negotiation and Contracting Courses with Multiple Providers; devising dynamic personalised learning plans and learning commitment (or e-contracts) between learners and providers. It implements designated agents which generate tasks and sub-tasks corresponding to the learners' goals and objectives; 'biding' for learning and tutoring resources from multiple providers to deliver on the derived tasks. Personalised learning plan aligned with online learning contract is generated for each learner based on the specified requirements and learning goals, as a result. It is argued that the ADALP approach empowers learners and improves on similar approaches, in comparison to existing adaptive learning systems.
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Mihailescu, Patrik 1977. "MAE : a mobile agent environment for resource limited devices." Monash University, School of Network Computing, 2003. http://arrow.monash.edu.au/hdl/1959.1/5805.

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48

Fang, Fang, and 方芳. "A life-cycle-oriented negotiation framework for supply chain management: an agent-based approach withhybrid learning." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B39362437.

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49

Weppenaar, De Ville. "Intelligent maintenance management in a reconfigurable manufacturing environment using multi-agent systems." Thesis, Bloemfontein : Central University of Technology, Free State, 2010. http://hdl.handle.net/11462/136.

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Thesis (M. Tech.) -- Central University of Technology, Free State, 2010
Traditional corrective maintenance is both costly and ineffective. In some situations it is more cost effective to replace a device than to maintain it; however it is far more likely that the cost of the device far outweighs the cost of performing routine maintenance. These device related costs coupled with the profit loss due to reduced production levels, makes this reactive maintenance approach unacceptably inefficient in many situations. Blind predictive maintenance without considering the actual physical state of the hardware is an improvement, but is still far from ideal. Simply maintaining devices on a schedule without taking into account the operational hours and workload can be a costly mistake. The inefficiencies associated with these approaches have contributed to the development of proactive maintenance strategies. These approaches take the device health state into account. For this reason, proactive maintenance strategies are inherently more efficient compared to the aforementioned traditional approaches. Predicting the health degradation of devices allows for easier anticipation of the required maintenance resources and costs. Maintenance can also be scheduled to accommodate production needs. This work represents the design and simulation of an intelligent maintenance management system that incorporates device health prognosis with maintenance schedule generation. The simulation scenario provided prognostic data to be used to schedule devices for maintenance. A production rule engine was provided with a feasible starting schedule. This schedule was then improved and the process was determined by adhering to a set of criteria. Benchmarks were conducted to show the benefit of optimising the starting schedule and the results were presented as proof. Improving on existing maintenance approaches will result in several benefits for an organisation. Eliminating the need to address unexpected failures or perform maintenance prematurely will ensure that the relevant resources are available when they are required. This will in turn reduce the expenditure related to wasted maintenance resources without compromising the health of devices or systems in the organisation.
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Fang, Fang. "A life-cycle-oriented negotiation framework for supply chain management : an agent-based approach with hybrid learning /." View the Table of Contents & Abstract, 2007. http://sunzi.lib.hku.hk/hkuto/record/B38289659.

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