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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.
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Contenuti
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.
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Changes of Problem Representation (eng)
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Changes of Problem Representation
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 372 pp. Englisch. Codice articolo 9783790825183
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Changes of Problem Representation
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Physica-Verlag HD, 2010
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Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 proble. Codice articolo 5310784
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Changes of Problem Representation: Theory and Experiments (Studies in Fuzziness and Soft Computing, 110)
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Changes of Problem Representation | Theory and Experiments
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Taschenbuch. Condizione: Neu. Changes of Problem Representation | Theory and Experiments | Eugene Fink | Taschenbuch | Studies in Fuzziness and Soft Computing | xiii | Englisch | 2010 | Physica | EAN 9783790825183 | Verantwortliche Person für die EU: Physica Verlag in Springer Science + Business Media, Tiergartenstr. 15-17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. Codice articolo 107023216
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Changes of Problem Representation : Theory and Experiments
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Codice articolo 9783790825183
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Changes of Problem Representation
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Physica Verlag, Tiergartenstr. 17, 69121 Heidelberg 372 pp. Englisch. Codice articolo 9783790825183
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