Dissertationen: „Intelligent agents (computer software)“

1

Sivan, Jagadha. „Building intelligent market places with software agents“. [Gainesville, Fla.] : University of Florida, 2000. http://etd.fcla.edu/etd/uf/2000/ane5970/newpdf.PDF.

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Thesis (M.S.)--University of Florida, 2000.
Title from first page of PDF file. Document formatted into pages; contains viii, 81 p.; also contains graphics. Vita. Includes bibliographical references (p. 77-80).

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2

McInerney, James. „Intelligent agents for mobile location services“. Thesis, University of Southampton, 2014. https://eprints.soton.ac.uk/365495/.

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Understanding human mobility patterns is a significant research endeavour that has recently received considerable attention. Developing the science to describe and predict how people move from one place to another during their daily lives promises to address a wide range of societal challenges: from predicting the spread of infectious diseases, improving urban planning, to devising effective emergency response strategies. Individuals are also set to benefit from this area of research, as mobile devices will be able to analyse their mobility pattern and offer context-aware assistance and information. For example, a service could warn about travel disruptions before the user is likely to encounter them, or provide recommendations and mobile vouchers for local services that promise to be of high value to the user, based on their predicted future plans. More ambitiously, control systems for home heating and electric vehicle charging could be enhanced with knowledge of when the user will be home. In this thesis, we focus on such anticipatory computing. Some aspects of the vision of context-awareness have been pursued for many years, resulting in mature research in the area of ubiquitous systems. However, the combination of surprisingly rapid adoption of advanced mobile devices by consumers and the broad acceptance of location-based apps has surfaced not only new opportunities, but also a number of pressing challenges. In more detail, these challenges are the (i) prediction of future mobility, (ii) inference of features of human location behaviour, and (iii) use of prediction and inference to make decisions about timely information or control actions. Our research brings together, for the first time, the entire workflow that a mobile location service needs to follow, in order to achieve an understanding of mobile user needs and to act on such understanding effectively. This framing of the problem highlights the shortcomings of existing approaches which we seek to address. In the current literature, prediction is only considered for established users, which implicitly assumes that new users will continue to use an initially inaccurate prediction system long enough for it to improve and increase in accuracy over time. Additionally, inference of user behaviour is mostly concerned with interruptibility, which does not take into account the constructive role of intelligent location services that goes beyond simply avoiding interrupting the user at inopportune times (e.g., in a meeting, or while driving). Finally, no principled decision framework for intelligent location services has been provided that takes into account the results of prediction and inference. To address these shortcomings, we make three main contributions to the state of the art. Firstly, we provide a novel Bayesian model that relates the location behaviour of new and established users, allowing the reuse of structure learnt from rich mobility data. This model shows a factor of 2.4 improvement over the state-of-the-art baseline in heldout data likelihood in experiments using the Nokia Lausanne dataset. Secondly, we give new tools for the analysis and prediction of routine in mobility, which is a latent feature of human behaviour, that informs the service about the user’s availability to follow up on any information provided. And thirdly, we provide a fully worked example of an intelligent mobile location service (a crowdsourced package delivery service) that performs decision-making using predictive densities of current and future user mobility. Simulations using real mobility data from the Orange Ivory Coast dataset indicate a 81.3% improvement in service efficiency when compared with the next best (non-anticipatory) approach.

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3

Dobrynin, Mikhail. „Using intelligent agents for complex software systems maintenance“. Ohio : Ohio University, 2002. http://www.ohiolink.edu/etd/view.cgi?ohiou1174588678.

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4

Tekbacak, Fatih Tuğlular Tuğkan. „Developing a security mechanism for software agents/“. [s.l.]: [s.n.], 2006. http://library.iyte.edu.tr/tezler/master/bilgisayaryazilimi/T000526.pdf.

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Thesis (Master)--İzmir Institute of Technology, İzmir, 2006.
Keywords: Agents, security protocols, software, software development, software security. Includes bibliographical references (leaves. 73-76).

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5

Miller, Paul Sheridan Mikler Armin. „Automated syndromic surveillance using intelligent mobile agents“. [Denton, Tex.] : University of North Texas, 2007. http://digital.library.unt.edu/permalink/meta-dc-5141.

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6

Monteiro, Valter. „How intrusion detection can improve software decoy applications“. Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03Mar%5FMonteiro.pdf.

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7

Brown, Quincy Lee Frank Salvucci Dario. „Mobile intelligent tutoring system : moving intelligent tutoring systems off the desktop /“. Philadelphia, Pa. : Drexel University, 2009. http://hdl.handle.net/1860/3114.

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8

Amin, Kaizar Abdul Husain. „Resource Efficient and Scalable Routing using Intelligent Mobile Agents“. Thesis, University of North Texas, 2003. https://digital.library.unt.edu/ark:/67531/metadc4240/.

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Many of the contemporary routing algorithms use simple mechanisms such as flooding or broadcasting to disseminate the routing information available to them. Such routing algorithms cause significant network resource overhead due to the large number of messages generated at each host/router throughout the route update process. Many of these messages are wasteful since they do not contribute to the route discovery process. Reducing the resource overhead may allow for several algorithms to be deployed in a wide range of networks (wireless and ad-hoc) which require a simple routing protocol due to limited availability of resources (memory and bandwidth). Motivated by the need to reduce the resource overhead associated with routing algorithms a new implementation of distance vector routing algorithm using an agent-based paradigm known as Agent-based Distance Vector Routing (ADVR) has been proposed. In ADVR, the ability of route discovery and message passing shifts from the nodes to individual agents that traverse the network, co-ordinate with each other and successively update the routing tables of the nodes they visit.

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9

Santamaria, Juan Carlos. „Learning adaptive reactive agents“. Diss., Georgia Institute of Technology, 1997. http://hdl.handle.net/1853/9247.

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10

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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11

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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12

Chan, Yue-Kong Kenneth. „Web services and agents integration /“. View document on the Internet, 2006. http://library.athabascau.ca/drr/download.php?filename=scis/Yue-Kong(Kenneth)ChanEssay.pdf.

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Project (M.Sc)--Athabasca University, 2006.
"An essay submitted in partial fulfillment of the requirements for the degree of Master of science in information systems"--t.p. Includes bibliographical references (leaves 71-78).

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13

Merrick, Kathryn Elizabeth. „Modelling motivation for experience-based attention focus in reinforcement learning“. Connect to full text, 2007. http://ses.library.usyd.edu.au/handle/2123/1935.

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Thesis (Ph. D.)--University of Sydney, 2007.
Includes graphs, tables. Title from title screen (viewed April 1, 2008). Submitted in fulfilment of the requirements for the degree of Doctor of Philosophy to the School of Information Technologies, Faculty of Science. Includes bibliographical references. Also available in print form.

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14

Golden, Keith. „Planning and knowledge representation for softbots /“. Thesis, Connect to this title online; UW restricted, 1997. http://hdl.handle.net/1773/6859.

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15

Karim, Samim M. R. „Acquiring plans within situated resource-bounded agents : a hybrid BDI-based approach /“. Connect to thesis, 2009. http://repository.unimelb.edu.au/10187/4865.

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16

Waterman, Bryan D. „Development of low-cost satellite control software“. Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2005. http://library.nps.navy.mil/uhtbin/hyperion/05Jun%5FWaterman.pdf.

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17

Hu, Yuebing, und 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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18

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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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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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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Miller, Paul. „Automated Syndromic Surveillance using Intelligent Mobile Agents“. Thesis, University of North Texas, 2007. https://digital.library.unt.edu/ark:/67531/metadc5141/.

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Current syndromic surveillance systems utilize centralized databases that are neither scalable in storage space nor in computing power. Such systems are limited in the amount of syndromic data that may be collected and analyzed for the early detection of infectious disease outbreaks. However, with the increased prevalence of international travel, public health monitoring must extend beyond the borders of municipalities or states which will require the ability to store vasts amount of data and significant computing power for analyzing the data. Intelligent mobile agents may be used to create a distributed surveillance system that will utilize the hard drives and computer processing unit (CPU) power of the hosts on the agent network where the syndromic information is located. This thesis proposes the design of a mobile agent-based syndromic surveillance system and an agent decision model for outbreak detection. Simulation results indicate that mobile agents are capable of detecting an outbreak that occurs at all hosts the agent is monitoring. Further study of agent decision models is required to account for localized epidemics and variable agent movement rates.

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22

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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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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24

Foster, Kate Yvonne, und 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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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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26

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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27

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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28

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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29

Fuad, Mohammad Muztaba. „An autonomic software architecture for distributed applications“. Diss., Montana State University, 2007. http://etd.lib.montana.edu/etd/2007/fuad/FuadM0807.pdf.

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30

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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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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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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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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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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35

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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Kildare, RA. „The Computational and Educational Viability of Deploying Intelligent Tutoring Systems“. Thesis, Honours thesis, University of Tasmania, 2003. https://eprints.utas.edu.au/21/1/Deployment_of_Intelligent_Tutoring_Systems.pdf.

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This thesis first presents a review of the literature that has been published on adaptive educational software. After briefly describing the evolution of these programs, the review covers the main educational and computational features of current systems. The next section of the thesis discusses the survey conducted in order to ascertain information about the performance of Intelligent Tutoring Systems. The results of this survey are used to inform the following section. After the survey, the thesis outlines a proposed architecture for the decentralised distribution of adaptive educational software and discusses the issues surrounding the architecture. The results from implementing this architecture follow in the next section. Conclusions and possible further research are presented last to complete the work. Key results and have been appended as well as a glossary of acronyms.

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Balamuru, Vinay Gopal. „The Role of Intelligent Mobile Agents in Network Management and Routing“. Thesis, University of North Texas, 2000. https://digital.library.unt.edu/ark:/67531/metadc2736/.

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In this research, the application of intelligent mobile agents to the management of distributed network environments is investigated. Intelligent mobile agents are programs which can move about network systems in a deterministic manner in carrying their execution state. These agents can be considered an application of distributed artificial intelligence where the (usually small) agent code is moved to the data and executed locally. The mobile agent paradigm offers potential advantages over many conventional mechanisms which move (often large) data to the code, thereby wasting available network bandwidth. The performance of agents in network routing and knowledge acquisition has been investigated and simulated. A working mobile agent system has also been designed and implemented in JDK 1.2.

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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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39

Harvey, Terrence. „Decision support communication integrating communicative plans from multiple sources to plan messages for a dynamic user and environment /“. Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file, 232 p, 2007. http://proquest.umi.com/pqdweb?did=1251906431&sid=1&Fmt=2&clientId=8331&RQT=309&VName=PQD.

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40

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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41

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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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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43

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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44

Jin, Xiaolong. „Autonomy oriented computing (AOC) for web intelligence (WI) : a distributed resource optimization perspective“. HKBU Institutional Repository, 2005. http://repository.hkbu.edu.hk/etd_ra/638.

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45

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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46

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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47

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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48

Kaiser, Edward Leo. „Addressing Automated Adversaries of Network Applications“. PDXScholar, 2010. https://pdxscholar.library.pdx.edu/open_access_etds/4.

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The Internet supports a perpetually evolving patchwork of network services and applications. Popular applications include the World Wide Web, online commerce, online banking, email, instant messaging, multimedia streaming, and online video games. Practically all networked applications have a common objective: to directly or indirectly process requests generated by humans. Some users employ automation to establish an unfair advantage over non-automated users. The perceived and substantive damages that automated, adversarial users inflict on an application degrade its enjoyment and usability by legitimate users, and result in reputation and revenue loss for the application's service provider. This dissertation examines three challenges critical to addressing the undesirable automation of networked applications. The first challenge explores individual methods that detect various automated behaviors. Detection methods range from observing unusual network-level request traffic to sensing anomalous client operation at the application-level. Since many detection methods are not individually conclusive, the second challenge investigates how to combine detection methods to accurately identify automated adversaries. The third challenge considers how to leverage the available knowledge to disincentivize adversary automation by nullifying their advantage over legitimate users. The thesis of this dissertation is that: there exist methods to detect automated behaviors with which an application's service provider can identify and then systematically disincentivize automated adversaries. This dissertation evaluates this thesis using research performed on two network applications that have different access to the client software: Web-based services and multiplayer online games.

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49

Perugini, Don. „Agents for logistics : a provisional agreement approach /“. Connect to thesis, 2006. http://eprints.unimelb.edu.au/archive/00002517.

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50

Sommaruga, Lorenzo. „Cooperative heuristics for autonomous agents : an artificial intelligence perspective“. Thesis, University of Nottingham, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.335853.

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Dissertationen zum Thema „Intelligent agents (computer software)“

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