Description: Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence, Paperback by Kolobov, Nikos, ISBN 3031004159, ISBN-13 9783031004155, Like New Used, Free shipping in the US 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 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 material can be used for teaching a half-semester course on multiagent systems covering, roughly, one chapter per lecture.
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Book Title: Concise Introduction to Multiagent Systems and Distributed Artifi
Number of Pages: Xii, 71 Pages
Publication Name: Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence
Language: English
Publisher: Springer International Publishing A&G
Subject: Probability & Statistics / General, Intelligence (Ai) & Semantics, Applied
Publication Year: 2007
Type: Textbook
Item Weight: 6.3 Oz
Subject Area: Mathematics, Computers
Author: Nikos Vlassis, Nikos Kolobov
Item Length: 9.3 in
Item Width: 7.5 in
Series: Synthesis Lectures on Artificial Intelligence and Machine Learning Ser.
Format: Trade Paperback
