Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations
by Yoav Shoham, Kevin Leyton-Brown
Publisher: Cambridge University Press 2008
ISBN/ASIN: 0521899435
ISBN-13: 9780521899437
Number of pages: 532
Description:
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.
Download or read it online for free here:
Download link
(3.7MB, PDF)
Similar books
Design: Creation of Artifacts in Societyby Karl T. Ulrich - University of Pennsylvania
Design is conceiving and giving form to artifacts that solve problems. I use artifact in a broad sense to describe any product of intentional creation, including physical goods, services, software, graphics, buildings, landscapes, and processes.
(6615 views)
The Boundaries of Humanity: Humans, Animals, Machinesby J. Sheehan, M. Sosna - University of California Press
To the age-old debate over what it means to be human, the relatively new fields of sociobiology and artificial intelligence bring new insights. What have these two fields in common? Have they affected the way we define humanity?
(11884 views)
Building the Second Mind: 1956 and the Origins of Artificial Intelligence Computingby 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.
(6577 views)
Computational Intelligence and Modern Heuristicsby 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.
(10044 views)