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 Ahmed Rebai (ed.) - InTech
Bayesian networks are a general tool that can be used for a large number of problems involving uncertainty: reasoning, learning, planning and perception. This is a collection of contributions to the methodology and applications of Bayesian networks.
by Rebecca E. Skinner - UC Berkeley
'Building the Second Mind' is a history of the origins of AI. AI, the field that seeks to do things that would be considered intelligent if a human being did them, was developed as a general concept over centuries - it is a constant of human thought.
by David Poole, Alan Mackworth - Cambridge University Press
A book about the science of artificial intelligence, it presents AI as the study of the design of intelligent computational agents. The book is structured as a textbook, but it is accessible to a wide audience of professionals and researchers.
by Cecilia Sik Lanyi (ed.) - InTech
Virtual Reality has high impact not only on research but on our daily living as well. This book has an aim to present applications, trends and newest development in three main disciplines: health sector, education and industry.