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.
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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.
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Book Description Academic Pr, 1993. Book Condition: Good. N/A. Former Library book. Shows some signs of wear, and may have some markings on the inside. Bookseller Inventory # GRP84665152
Book Description Book Condition: Good. Foundations of Constraint Satisfaction (Computation in Cognitive Science). Bookseller Inventory # Amz4778838