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… More...
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… More...
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… More...
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… More...
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… More...
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. Shipping costs: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… More...
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. Shipping costs: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… More...
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. Shipping costs: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… More...
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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Details of the book - Changes of Problem Representation
EAN (ISBN-13): 9783790817744 Publishing year: 2013 Publisher: Physica-Verlag HD
Book in our database since 2017-05-08T05:53:30+01:00 (London) Detail page last modified on 2024-04-11T21:53:45+01:00 (London) ISBN/EAN: 9783790817744
ISBN - alternate spelling: 978-3-7908-1774-4 Alternate spelling and related search-keywords: Book author: eugen fink Book title: representation theory
Information from Publisher
Author: Eugene Fink Title: Studies in Fuzziness and Soft Computing; Changes of Problem Representation - Theory and Experiments Publisher: Physica; Physica 358 Pages Publishing year: 2013-03-20 Heidelberg; DE Language: English 149,79 € (DE) 154,00 € (AT) 177,00 CHF (CH) Available XIII, 358 p.
