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Sinopsis
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.
"Sinopsis" puede pertenecer a otra edición de este libro.
Reseña del editor
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.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Game Theory and Decision Theory in Agent-Based Systems (Multiagent Systems, Artificial Societies, and Simulated Organizations, 5)
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Game Theory and Decision Theory in Agent-Based Systems (Multiagent Systems, Artificial Societies, and Simulated Organizations, 5)
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Game Theory and Decision Theory in Agent-Based Systems (Hardcover)
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Hardcover. Condición: new. Hardcover. This is a collection of papers from international 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 should provide the reader with a 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; and robust combinatorial auction protocol against false-name bids. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9781402071157
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Game Theory and Decision Theory in Agent-Based Systems
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 420 pp. Englisch. Nº de ref. del artículo: 9781402071157
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Game Theory and Decision Theory in Agent-Based Systems
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Buch. Condición: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 420 pp. Englisch. Nº de ref. del artículo: 9781402071157
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Game Theory and Decision Theory in Agent-Based Systems
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ISBN 10: 1402071159
ISBN 13: 9781402071157
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Nº de ref. del artículo: 9781402071157
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