[A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence] (By: Nikos Vlassis) [published: July, 2007] - Softcover
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A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence
ISBN 10: 3031004159
ISBN 13: 9783031004155
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Taschenbuch. Zustand: Neu. Neuware -Multiagent systems is an expanding field that blends classical fields like game theory and decentralized control with modern fields like computer science and machine learning. This monograph provides a concise introduction to the subject, covering the theoretical foundations as well as more recent developments in a coherent and readable manner. The text is centered on the concept of an agent as decision maker. Chapter 1 is a short introduction to the field of multiagent systems. Chapter 2 covers the basic theory of singleagent decision making under uncertainty. Chapter 3 is a brief introduction to game theory, explaining classical concepts like Nash equilibrium. Chapter 4 deals with the fundamental problem of coordinating a team of collaborative agents. Chapter 5 studies the problem of multiagent reasoning and decision making under partial observability. Chapter 6 focuses on the design of protocols that are stable against manipulations by self-interested agents. Chapter 7 provides a short introduction to the rapidly expanding field of multiagent reinforcement learning. The material can be used for teaching a half-semester course on multiagent systems covering, roughly, one chapter per lecture.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 84 pp. Englisch. Artikel-Nr. 9783031004155
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A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence
Verlag:
Springer International Publishing, 2007
ISBN 10: 3031004159
ISBN 13: 9783031004155
Neu
Taschenbuch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Multiagent systems is an expanding field that blends classical fields like game theory and decentralized control with modern fields like computer science and machine learning. This monograph provides a concise introduction to the subject, covering the theoretical foundations as well as more recent developments in a coherent and readable manner. The text is centered on the concept of an agent as decision maker. Chapter 1 is a short introduction to the field of multiagent systems. Chapter 2 covers the basic theory of singleagent decision making under uncertainty. Chapter 3 is a brief introduction to game theory, explaining classical concepts like Nash equilibrium. Chapter 4 deals with the fundamental problem of coordinating a team of collaborative agents. Chapter 5 studies the problem of multiagent reasoning and decision making under partial observability. Chapter 6 focuses on the design of protocols that are stable against manipulations by self-interested agents. Chapter 7 provides a short introduction to the rapidly expanding field of multiagent reinforcement learning. The material can be used for teaching a half-semester course on multiagent systems covering, roughly, one chapter per lecture. Artikel-Nr. 9783031004155
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A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence
Verlag:
Springer Nature Switzerland, 2007
ISBN 10: 3031004159
ISBN 13: 9783031004155
Neu
Taschenbuch
Anbieter: preigu, Osnabrück, Deutschland
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Taschenbuch. Zustand: Neu. A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence | Nikos Vlassis | Taschenbuch | xii | Englisch | 2007 | Springer Nature Switzerland | EAN 9783031004155 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Artikel-Nr. 121974916
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