Artificial Intelligence for Advanced Problem Solving Techniques

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Dimitris Vrakas, Ioannis Vlahavas
IGI Global Snippet, Jan 1, 2008 - Computers - 370 pages
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One of the most important functions of artificial intelligence, automated problem solving, consists mainly of the development of software systems designed to find solutions to problems. These systems utilize a search space and algorithms in order to reach a solution. Artificial Intelligence for Advanced Problem Solving Techniques offers scholars and practitioners cutting-edge research on algorithms and techniques such as search, domain independent heuristics, scheduling, constraint satisfaction, optimization, configuration, and planning, and highlights the relationship between the search categories and the various ways a specific application can be modeled and solved using advanced problem solving techniques.

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Contents

Extending Classical Planning for Time Research Trends in Optimal and Suboptimal Temporal Planning
23
Constraint Satisfaction and Scheduling
62
Principles of Constraint Processing
63
Copyright

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About the author (2008)

Dimitris Vrakas is finishing his PhD in Distributed Planning and Scheduling at the Dept of Informatics of the Aristotle University of Thessaloniki. He has published several articles and presented various papers on important aspects of Automated Planning such as Learning aided Planning Systems. He is a member of the American Association for Artificial Intelligence, the Association of Greek Informaticians and the Hellenic Society for Artificial Intelligence.

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