This textbook examines the constraint satisfaction problem (CSP), which is a general problem in AI applications. It aims to provide a comprehensive introduction to the CSP, covering theoretical, practical and implementation issues. The book discusses formal definitions, CSP solving algorithms and implementation of some of the algorithms on PROLOG. The main objective of this book is to identify the properties of CSPs and introduce algorithms for tackling CSP. Its main feature is the fact that it presents the knowledge in CSP-solving in one volume.
"synopsis" may belong to another edition of this title.
The author Edward Tsang holds a first degree in Finance and a MSc and PhD degree in Computer Science. He is the Director of Centre for Computational Finance and Economic Agents (CCFEA), an interdisciplinary research centre which he co-founded in October 2002. He has international reputation in artificial intelligence. He is well known for his research in constraint satisfaction (a branch of combinatorial optimisation for decision support and scheduling) and computational finance and economics. His book on constraint satisfaction is the most cited literature on the subject. He founded the Technical Committee in Computation Finance and Economics in IEEE's Computational Intelligence Society in 2004. Edward Tsang's research is highly industry-relevant. He has given consultation to GEC Marconi, British Telecom, Honda Europe, Causeway, Old Mutual Asset Managers, Allianz RAS and other organizations.
"About this title" may belong to another edition of this title.
(No Available Copies)
If you know the book but cannot find it on AbeBooks, we can automatically search for it on your behalf as new inventory is added. If it is added to AbeBooks by one of our member booksellers, we will notify you!Create a Want