by Vedran Kordic
Publisher: InTech 2010
Number of pages: 138
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 about some of the research issues in the field of multi agents.
Home page url
Download or read it online for free here:
by M. Khoshnevisan, S. Bhattacharya, F. Smarandache - Xiquan
The purpose of this book is to apply the Artificial Intelligence and control systems to different real models. The text is designed for graduate students and researchers who are active in the applications of AI and Control Systems in modeling.
by Mike Sharples, et al. - A Bradford Book
The aim of this book is to introduce people with little or no computing background to artificial intelligence (AI) and cognitive science. It emphasizes the psychological, social, and philosophical implications of artificial 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 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.