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El. knyga: Game Theory and Decision Theory in Agent-Based Systems

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Game Theory And Decision Theory In Agent-Based Systems is a collection of papers from international leading researchers, that offers a broad view of the many ways game theory and decision theory can be applied in agent-based systems, from standard applications of the core elements of the theory to more cutting edge developments. The range of topics discussed in this book provide the reader with the first comprehensive volume that reflects both the depth and breadth of work in applying techniques from game theory and decision theory to design agent-based systems. Chapters include:
  • Selecting Partners;
  • Evolution of Agents with Moral Sentiments in an IPD Exercise;
  • Dynamic Desires;
  • Emotions and Personality;
  • Decision-Theoretic Approach to Game Theory;
  • Shopbot Economics;
  • Finding the Best Way to Join in;
  • Shopbots and Pricebots in Electronic Service Markets;
  • Polynomial Time Mechanisms;
  • Multi-Agent Q-learning and Regression Trees;
  • Satisficing Equilibria;
  • Investigating Commitment Flexibility in Multi-agent Contracts;
  • Pricing in Agent Economies using Multi-agent Q-learning;
  • Using Hypergames to Increase Planned Payoff and Reduce Risk;
  • Bilateral Negotiation with Incomplete and Uncertain Information;
  • Robust Combinatorial Auction Protocol against False-name Bids.

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Springer Book Archives
1 Game Theory and Decision Theory.- 1 Introduction.- 2 Decision Theory.-
3 Game Theory.- 4 The Prisoners Dilemma.- 5 Summary.- 2 Selecting Partners.-
1 Introduction.- 2 A Sample Problem.- 3 Coalition Formation.- 4
Payoff-structures of Partnerships.- 5 Selecting the Potentially most
Beneficial Partnership for Limited Interactions.- 6 An Example Evaluation.- 7
Comparative Evaluation with a Decision Mechanism for Infinite Interactions.-
8 Evaluation Scenario.- 9 Experimental Results.- 10 Conclusions.- 3 Evolution
of Agents with Moral Sentiments in an IPD Exercise.- 1 Introduction.- 2 Moral
Sentiments in the Iterated Prisoners Dilemma.- 3 The Unwitting Benefits of
Altruism.- 4 An Evolutionary Setting for the Simulations.- 5 Playing with
Moral Sentiments Secures the Survival of the Group.- 6 A Case for Benevolence
in Agents.- 7 Conclusions.- 4 Dynamic Desires.- 1 Introduction.- 2 Utilities,
Desires and Goals.- 3 An Example from Negotiation.- 4 Dynamic Logic.- 5
Future Research.- 6 Concluding Remarks.- 5 Emotions and Personality.- 1
Introduction.- 2 DecisionTheoretic Preliminaries.- 3 Emotional States and
Personality.- 4 Conclusions and Future Work.- 5 Acknowledgements.- 6
Decision-Theoretic Approach to Game Theory.- 1 Background on
DecisionTheoretic Approach to Game Theory.- 2 Knowledge Base Design.- 3
RMMs Solution Method.- 4 Rational Communication 109 5 Experiments in Air
Defense Domain.- 6 Conclusions.- 7 Shopbot Economics.- 1 Introduction.- 2
Model.- 3 Sellers.- 4 Buyers.- 5 Shopbot.- 6 Related Work.- 7 Conclusions and
Future Work.- Appendix: No Pure Strategy Nash Equilibrium.- 8 Finding the
Best Way to Join in.- 1 Introduction.- 2 Game Theoretic Foundations.- 3 The
Accession Game.- 4 Solving More General Games.- 5 Conclusions.- 9 Shopbots
and Pricebots inElectronic Service Markets.- 1 Introduction and Definitions.-
2 Our Model of an Electronic Service Market.- 3 Comparisons.- 4 Related
Literature.- 5 Conclusions.- Appendix: The Derivation of Equilibrium for the
XX Market Configuration.- 10 Polynomial Time Mechanisms.- 1 Introduction.- 2
Mechanism Design.- 3 Polynomial Time Mechanisms.- 4 Dominant Strategy
Implementation.- 5 Nash Implementation.- 6 Upper Bounds on Approximability.-
7 Conclusions.- 11 Multi-Agent Q-learning and Regression Trees.- 1
Introduction.- 2 Model Agent Economies.- 3 Single and Multi-Agent
Q-learning.- 4 Q-learning with Regression Trees.- 5 Results.- 6 Conclusions.-
12 Satisficing Equilibria.- 1 Introduction.- 2 A Comparative Paradigm.- 3
Praxeic Utility.- 4 Multi-Agent Systems.- 5 Satisficing Games.- 6 Summary and
Discussion.- 13 Investigating Commitment Flexibility in Multi-agent
Contracts.- 1 Introduction.- 2 The Scenario.- 3 Some Analysis of Special
Cases.- 4 Empirical Work.- 5 Conclusions and Further Work.- 14 Pricing in
Agent Economies using Multi-agent Q-learning.- 1 Introduction.- 2 Model Agent
Economies.- 3 Single-agent Q-learning.- 4 Multi-agent Q-learning.- 5
Conclusions.- 15 Using Hypergames to Increase Planned Payoff and Reduce
Risk.- 1 Introduction.- 2 Discussion.- 3 Results.- 4 Conclusions.- 16
Bilateral Negotiation with Incomplete and Uncertain Information.- 1
Introduction.- 2 The Application Area.- 3 The Negotiation Mechanism.- 4
Evaluation.- 5 Related Work on Negotiation.- 6 Conclusions.- 17 Robust
Combinatorial Auction Protocol against False-name Bids.- 1 Introduction.- 2
Generalized Vickrey Auction Protocol (GVA).- 3 Robust Protocol against
False-name Bids.- 4 Proof of Incentive Compatibility.- 5 Evaluation.- 6
Discussion.- 7 Conclusions.