Encyclopedia of Computational Intelligence
by Eugene M. Izhikevich, at al.
Publisher: Scholarpedia 2009
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.
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by Yoav Shoham, Kevin Leyton-Brown - Cambridge University Press
Multiagent systems consist of multiple autonomous entities having different information and diverging interests. This comprehensive introduction to the field offers a computer science perspective, but also draws on ideas from game theory.
by Neil C. Rowe - Prentice-Hall
Artificial intelligence is a hard subject to learn. The author have written a book to make it easier. He explains difficult concepts in a simple, concrete way. This book is intended for all first courses in artificial intelligence.
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.