Changes of Problem Representation Theory and Experiments
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...
| Main Author: | |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Heidelberg
Physica
2002, 2002
|
| Edition: | 1st ed. 2002 |
| Series: | Studies in Fuzziness and Soft Computing
|
| Subjects: | |
| Online Access: | |
| Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- 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