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基于协作机制的多Agent追捕研究

Abstract第4-6页
摘要第7-15页
Chapter 1 Introduction第15-42页
    1.1.Motivation第15-16页
    1.2.General definitions of an Agent and Multi-agent systems第16-18页
    1.3.Task coordination mechanisms aprroaches第18-23页
    1.4.Organizations in Multi-agent Systems第23-32页
        1.4.1.Organizational Modeling Frameworks第25-28页
        1.4.2.Reorganization第28-31页
        1.4.3.Mechanisms of reorganization第31-32页
    1.5.Multi-agent path planning第32-38页
        1.5.1.Markov Decision Process第34-37页
        1.5.2.Application of MDP in MAS第37-38页
    1.6.Position of our work and dissertatio n structure第38-42页
Chapter 2 Pursuit coalition formation based on Organization and MarkovDecision Process第42-61页
    2.1.Introduction第42-44页
    2.2.Environment description第44-47页
        2.2.1.Environment position第45-46页
        2.2.2.The tying第46页
        2.2.3.Self-Confidence degree第46-47页
    2.3.Agent Group Role第47-50页
    2.4.MDP formal definition and resolution algorithms第50-54页
        2.4.1.Value-iteration第51-52页
        2.4.2.Policy-iteration第52-54页
    2.5.The agents’ motion planning based on MDP第54-56页
    2.6.Simulation experiments第56-60页
    2.7.Summary第60-61页
Chapter 3 Pursuit cooperation based on the access optimization and thedynamic reorganization第61-79页
    3.1.Introduction第61-62页
    3.2.Fuzzy logic in multi-agent systems第62-64页
    3.3.Yet Another Multi-Agent Model第64-65页
    3.4.Pursuers’ coalition formations based on YAMAM organizational model第65-68页
    3.5.Extension: Agent-Group-Role-Membership Function第68-70页
        3.5.1.Agent第68页
        3.5.2.Group第68-69页
        3.5.3.The role第69页
        3.5.4.The membership function第69-70页
    3.6.Coalition formation algorithm based on AGRMF第70-73页
    3.7.Simulation experiments第73-77页
    3.8.Summary第77-79页
Chapter 4 A decentralized cooperative pursuit based on game theoreticprinciples第79-98页
    4.1.Introduction第79-83页
        4.1.1.Decision making: Centralized VS Decentralized第80-81页
        4.1.2.Coordination through the application of game theory第81-82页
        4.1.3.Application of game theory in pursuit -evasion problems第82-83页
    4.2.The Iterated Elimination of Dominated Strategies第83-85页
    4.3.Coalition formation algorithm based on IEDS第85-88页
    4.4.Net Logo simulation platform第88-91页
    4.5.Simulation experiments第91-96页
    4.6.Summary第96-98页
Chapter 5 Pursuit path planning based on an extension of Bug -Algorithms第98-114页
    5.1.Introduction第98-100页
    5.2.Bug Algorithms第100-101页
    5.3.Problem description第101-103页
    5.4.Pursuit path planning based on sensors detection第103-104页
        5.4.1.Reward function第103-104页
        5.4.2.Policy function第104页
    5.5.Reward Bug-Algorithm第104-106页
    5.6.Pursuit processing based on the Reward Bug-Algorithm第106-108页
    5.7.Simulation experiments第108-113页
    5.8.Summary第113-114页
Conclusion and future work第114-117页
References第117-131页
Publications第131-134页
Acknowledgements第134-135页
Resume第135页

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