Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations
by Yoav Shoham, Kevin Leyton-Brown
Publisher: Cambridge University Press 2008
Number of pages: 532
Multiagent systems consist of multiple autonomous entities having different information and/or diverging interests. This comprehensive introduction to the field offers a computer science perspective, but also draws on ideas from game theory, economics, operations research, logic, philosophy and linguistics. It will serve as a reference for researchers in each of these fields, and be used as a text for advanced undergraduate and graduate courses.
Home page url
Download or read it online for free here:
by Al-Dahoud Ali - InTech
This book will take its readers on a stunning voyage of computational intelligence heuristics research and applications. Computational intelligence techniques are covered, ranging from neural networks, fuzzy logic, genetic algorithms, etc.
by Jimmy Or - IN-TECH
An overview of state of the art research in Affective Computing. It presents new ideas, original results and practical experiences in this increasingly important research field. The book consists of 23 chapters categorized into four sections.
by Eugene M. Izhikevich, at al. - Scholarpedia
Encyclopedia of Computational Intelligence covers neural networks, evolutionary computation, robotics, machine learning and pattern recognition, graphs and complexity, artificial intelligence, information theory, fuzzy systems, signal analysis, etc.
by Vedran Kordic - InTech
The field of multi agent systems investigates the process underlying distributed problem solving and designs some protocols and mechanisms involved in this process. This book presents an overview of the research issues in the field of multi agents.