
Changes of Problem Representation
Theory and Experiments
Eugene Fink(Author)
Physica (Publisher)
Published on 22. October 2002
Book
Hardback
XIII, 358 pages
978-3-7908-1523-8 (ISBN)
Description
The purpose of our research is to enhance the efficiency of AI problem solvers by automating representation changes. We have developed a system that improves the description of input problems and selects an appropriate search algorithm for each given problem. Motivation. Researchers have accumulated much evidence on the impor tance of appropriate representations for the efficiency of AI systems. The same problem may be easy or difficult, depending on the way we describe it and on the search algorithm we use. Previous work on the automatic im provement of problem descriptions has mostly been limited to the design of individual learning algorithms. The user has traditionally been responsible for the choice of algorithms appropriate for a given problem. We present a system that integrates multiple description-changing and problem-solving algorithms. The purpose of the reported work is to formalize the concept of representation and to confirm the following hypothesis: An effective representation-changing system can be built from three parts: a library of problem-solving algorithms; a library of algorithms that improve problem descriptions; a control module that selects algorithms for each given problem.
More details
Series
Edition
2002 ed.
Language
English
Place of publication
Heidelberg
Germany
Target group
College/higher education
Professional and scholarly
Research
Illustrations
XIII, 358 p.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 25 mm
Weight
723 gr
ISBN-13
978-3-7908-1523-8 (9783790815238)
DOI
10.1007/978-3-7908-1774-4
Schweitzer Classification
Other editions
Additional editions

Book
10/2010
Physica
€160.49
Shipment within 10-15 days
Content
I. Introduction.- 1. Motivation.- 2. Prodigy search.- II. Description changers.- 3. Primary effects.- 4. Abstraction.- 5. Summary and extensions.- III. Top-level control.- 6. Multiple representations.- 7. Statistical selection.- 8. Statistical extensions.- 9. Summary and extensions.- IV. Empirical results.- 10. Machining Domain.- 11. Sokoban Domain.- 12. Extended Strips Domain.- 13. Logistics Domain.- Concluding remarks.- References.