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.

About the Author

Dimitris Vrakas is a lecturer at the Department of Informatics at the Aristotle University of Thessaloniki, Greece (AUTH). He has worked as an adjunct lecturer in the above department and in the computer & communication engineering department of the University of Thessaly. He has also taught at post-graduate courses in the Aristotle University and the University of Macedonia. He specializes in automated planning, heuristic search, and problem solving and he has published more than 30 papers and co-authored 2 books in the above areas.

Ioannis Vlahavas is a professor in the Department of Informatics at the Aristotle University of Thessaloniki, Greece (AUTH). He received his PhD degree in logic programming systems from AUTH (1988). He was a visiting scholar in the Department of CS at Purdue University (1997). He specializes in logic programming, machine learning, automated planning, and knowledge-based and AI systems. He has published over 140 papers and 6 books and has been involved in more than 25 projects. He is leading the Programming Languages and Software Engineering Laboratory and the Logic Programming and Intelligent Systems Group.

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