Artificial Intelligence: Foundations of Computational Agents
by David Poole, Alan Mackworth
Publisher: Cambridge University Press 2010
A book about the science of artificial intelligence (AI). It presents artificial intelligence 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.
Home page url
Download or read it online for free here:
by William John Teahan - BookBoon
This book adopts a behaviour-based approach to the design of agent-oriented systems. The topics covered from a behaviour-based perspective include agent communication, searching, knowledge and reasoning, and intelligence.
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 Xin-Xing Tang (ed.) - InTech
Virtual reality has impact on information organization and management and even changes design principle of information systems, which will make it adapt to application requirements. The book aims to provide a broader perspective of virtual reality.
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.