ENGLISH

A concise introduction to multiagent systems and distributed artificial intelligence

Book information

Publisher
Morgan and Claypool Publishers
Year
2007
ISBN
9781598295269, 1598295268
DOI
10.2200/S00091ED1V01Y200705AIM002
Open Library ID
OL12496547M
Language
english
Format
PDF
Filesize
793 kB (812313 bytes)
Series
Synthesis Lectures on Artificial Intelligence and Machine Learning
Edition
1
Pages
84\84
Time added
2009-08-06 05:14:26

Description

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.

Similar books