A concise introduction to multiagent systems and distributed artificial intelligence
- Responsibility
- Nikos Vlassis.
- Edition
- 1st ed.
- Imprint
- Cham, Switzerland : Springer, ©2007.
- Physical description
- 1 online resource (xii, 71 pages)
- Series
- Synthesis lectures on artificial intelligence and machine learning (Online) ; #2.
Online
Available online
More options
Description
Creators/Contributors
- Author/Creator
- Vlassis, Nikos.
Contents/Summary
- Bibliography
- Includes bibliographical references (pages 63-70).
- Contents
-
- Introduction Rational Agents Strategic Games Coordination Partial Observability Mechanism Design Learning.
- (source: Nielsen Book Data)
- Publisher's summary
-
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.
(source: Nielsen Book Data)
Subjects
Bibliographic information
- Publication date
- 2007
- Series
- Synthesis lectures on artificial intelligence and machine learning ; #2
- Note
- Title from PDF title page (viewed July 17, 2007).
- ISBN
- 1598295276 (electronic bk.)
- 9781598295276 (electronic bk.)
- 1598295268
- 9781598295269
- 9783031015434 (electronic bk.)
- 3031015436 (electronic bk.)
- DOI
- 10.1007/978-3-031-01543-4
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