Foundations of Constraint Satisfaction
by Edward Tsang
Publisher: Academic Press 1993
Number of pages: 300
Constraint satisfaction is a general problem in which the goal is to find values for a set of variables that will satisfy a given set of constraints. It is the core of many applications in artificial intelligence, and has found its application in many areas, such as planning and scheduling. Published in 1993, this book was the first attempt to define the field of constraint satisfaction. It covers both the theoretical and the implementation aspects of the subject. It provides a framework for studying this field, relates different research, and resolves ambiguity in a number of concepts and algorithms in the literature.
Home page url
Download or read it online for free here:
(multiple PDF files)
by Vedran Kordic - InTech
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 of the research issues in the field of multi agents.
by David Moursund - University of Oregon
This book is designed to help teachers learn about the educational implications of current uses of Artificial Intelligence as an aid to solving problems and accomplishing tasks. The text is designed for self-study or for use in workshops.
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 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.