Multiagent Systems - Intelligent Robotics & Autonomous Agents Series (Hardback)
  • Multiagent Systems - Intelligent Robotics & Autonomous Agents Series (Hardback)
zoom

Multiagent Systems - Intelligent Robotics & Autonomous Agents Series (Hardback)

(editor)
£57.95
Hardback 920 Pages / Published: 12/04/2013
  • Not available

This product is currently unavailable.

  • This item has been added to your basket
Multiagent systems are made up of multiple interacting intelligent agents -- computational entities to some degree autonomous and able to cooperate, compete, communicate, act flexibly, and exercise control over their behavior within the frame of their objectives. They are the enabling technology for a wide range of advanced applications relying on distributed and parallel processing of data, information, and knowledge relevant in domains ranging from industrial manufacturing to e-commerce to health care. This book offers a state-of-the-art introduction to multiagent systems, covering the field in both breadth and depth, and treating both theory and practice. It is suitable for classroom use or independent study. This second edition has been completely revised, capturing the tremendous developments in multiagent systems since the first edition appeared in 1999. Sixteen of the book's seventeen chapters were written for this edition; all chapters are by leaders in the field, with each author contributing to the broad base of knowledge and experience on which the book rests. The book covers basic concepts of computational agency from the perspective of both individual agents and agent organizations; communication among agents; coordination among agents; distributed cognition; development and engineering of multiagent systems; and background knowledge in logics and game theory. Each chapter includes references, many illustrations and examples, and exercises of varying degrees of difficulty. The chapters and the overall book are designed to be self-contained and understandable without additional material. Supplemental resources are available on the book's Web site. Contributors:Rafael Bordini, Felix Brandt, Amit Chopra, Vincent Conitzer, Virginia Dignum, Jurgen Dix, Ed Durfee, Edith Elkind, Ulle Endriss, Alessandro Farinelli, Shaheen Fatima, Michael Fisher, Nicholas R. Jennings, Kevin Leyton-Brown, Evangelos Markakis, Lin Padgham, Julian Padget, Iyad Rahwan, Talal Rahwan, Alex Rogers, Jordi Sabater-Mir, Yoav Shoham, Munindar P. Singh, Kagan Tumer, Karl Tuyls, Wiebe van der Hoek, Laurent Vercouter, Meritxell Vinyals, Michael Winikoff, Michael Wooldridge, Shlomo Zilberstein

Publisher: MIT Press Ltd
ISBN: 9780262018890
Number of pages: 920
Weight: 1816 g
Dimensions: 254 x 203 x 31 mm
Edition: 2nd Revised edition

You may also be interested in...

The Elements of Statistical Learning
Added to basket
Web Data Mining
Added to basket
£54.99
Hardback
Introduction to Machine Learning
Added to basket
Deep Learning
Added to basket
£39.99
Paperback
Reinforcement Learning
Added to basket
Bayesian Reasoning and Machine Learning
Added to basket
Thoughtful Machine Learning
Added to basket
Probabilistic Graphical Models
Added to basket
Machine Learning for Hackers
Added to basket
Superintelligence
Added to basket
£18.99
Hardback
Machine Learning
Added to basket
£52.99
Mixed media product
Machine Learning
Added to basket
£37.99
Paperback
Machine Learning
Added to basket
£39.99
Paperback

Reviews

Please sign in to write a review

Your review has been submitted successfully.