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...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Heidelberg
Physica-Verlag HD
2002
|
| Schriftenreihe: | Studies in Fuzziness and Soft Computing
110 |
| Schlagworte: | |
| Online-Zugang: | FHI01 BTU01 Volltext |
| Zusammenfassung: | 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 |
| Beschreibung: | 1 Online-Ressource (XIII, 358 p) |
| ISBN: | 9783790817744 |
| DOI: | 10.1007/978-3-7908-1774-4 |
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Datensatz im Suchindex
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| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 006 - Special computer methods |
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| dewey-search | 006.3 |
| dewey-sort | 16.3 |
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| discipline | Informatik |
| doi_str_mv | 10.1007/978-3-7908-1774-4 |
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| id | DE-604.BV045149526 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:10:04Z |
| institution | BVB |
| isbn | 9783790817744 |
| language | English |
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| physical | 1 Online-Ressource (XIII, 358 p) |
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| spelling | Fink, Eugene Verfasser aut Changes of Problem Representation Theory and Experiments by Eugene Fink Heidelberg Physica-Verlag HD 2002 1 Online-Ressource (XIII, 358 p) txt rdacontent c rdamedia cr rdacarrier Studies in Fuzziness and Soft Computing 110 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 Computer Science Artificial Intelligence (incl. Robotics) Cognitive Psychology Computer science Artificial intelligence Cognitive psychology Erscheint auch als Druck-Ausgabe 9783790825183 https://doi.org/10.1007/978-3-7908-1774-4 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Fink, Eugene Changes of Problem Representation Theory and Experiments Computer Science Artificial Intelligence (incl. Robotics) Cognitive Psychology Computer science Artificial intelligence Cognitive psychology |
| title | Changes of Problem Representation Theory and Experiments |
| title_auth | Changes of Problem Representation Theory and Experiments |
| title_exact_search | Changes of Problem Representation Theory and Experiments |
| title_full | Changes of Problem Representation Theory and Experiments by Eugene Fink |
| title_fullStr | Changes of Problem Representation Theory and Experiments by Eugene Fink |
| title_full_unstemmed | Changes of Problem Representation Theory and Experiments by Eugene Fink |
| title_short | Changes of Problem Representation |
| title_sort | changes of problem representation theory and experiments |
| title_sub | Theory and Experiments |
| topic | Computer Science Artificial Intelligence (incl. Robotics) Cognitive Psychology Computer science Artificial intelligence Cognitive psychology |
| topic_facet | Computer Science Artificial Intelligence (incl. Robotics) Cognitive Psychology Computer science Artificial intelligence Cognitive psychology |
| url | https://doi.org/10.1007/978-3-7908-1774-4 |
| work_keys_str_mv | AT finkeugene changesofproblemrepresentationtheoryandexperiments |