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 prob… Mehr…
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. Books > Computer Science eBook, Springer Shop<
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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 prob… Mehr…
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. Books > Computer Science eBook, Springer Shop<
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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 prob… Mehr…
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<
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Changes of Problem Representation ab 170.99 € als pdf eBook: Theory and Experiments. Aus dem Bereich: eBooks, Fachthemen & Wissenschaft, Psychologie & Psychiatrie, Medien > Bücher, Change… Mehr…
Changes of Problem Representation ab 170.99 € als pdf eBook: Theory and Experiments. Aus dem Bereich: eBooks, Fachthemen & Wissenschaft, Psychologie & Psychiatrie, Medien > Bücher, Changes of Problem Representation - eBook als pdf von Eugene Fink - Physica-Verlag HD - 9783790817744<
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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 prob… Mehr…
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. Books > Computer Science eBook, Springer Shop<
new in stock. Versandkosten:zzgl. Versandkosten. (EUR 0.00)
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 prob… Mehr…
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. Books > Computer Science eBook, Springer Shop<
new in stock. Versandkosten:zzgl. Versandkosten. (EUR 0.00)
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 prob… Mehr…
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<
Nr. 978-3-7908-1774-4. Versandkosten:Worldwide free shipping, , DE. (EUR 0.00)
Changes of Problem Representation ab 170.99 € als pdf eBook: Theory and Experiments. Aus dem Bereich: eBooks, Fachthemen & Wissenschaft, Psychologie & Psychiatrie, Medien > Bücher, Change… Mehr…
Changes of Problem Representation ab 170.99 € als pdf eBook: Theory and Experiments. Aus dem Bereich: eBooks, Fachthemen & Wissenschaft, Psychologie & Psychiatrie, Medien > Bücher, Changes of Problem Representation - eBook als pdf von Eugene Fink - Physica-Verlag HD - 9783790817744<
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Detailangaben zum Buch - Changes of Problem Representation
EAN (ISBN-13): 9783790817744 Erscheinungsjahr: 2013 Herausgeber: Physica-Verlag HD
Buch in der Datenbank seit 2017-05-08T06:53:30+02:00 (Berlin) Detailseite zuletzt geändert am 2024-04-11T22:53:45+02:00 (Berlin) ISBN/EAN: 9783790817744
ISBN - alternative Schreibweisen: 978-3-7908-1774-4 Alternative Schreibweisen und verwandte Suchbegriffe: Autor des Buches: eugen fink Titel des Buches: representation theory
Daten vom Verlag:
Autor/in: Eugene Fink Titel: Studies in Fuzziness and Soft Computing; Changes of Problem Representation - Theory and Experiments Verlag: Physica; Physica 358 Seiten Erscheinungsjahr: 2013-03-20 Heidelberg; DE Sprache: Englisch 149,79 € (DE) 154,00 € (AT) 177,00 CHF (CH) Available XIII, 358 p.
