| 書目名稱 | Changes of Problem Representation |
| 副標題 | Theory and Experimen |
| 編輯 | Eugene Fink |
| 視頻video | http://file.papertrans.cn/224/223757/223757.mp4 |
| 叢書名稱 | Studies in Fuzziness and Soft Computing |
| 圖書封面 |  |
| 描述 | 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 algorith |
| 出版日期 | Book 2002 |
| 關鍵詞 | Extension; Performance; STRIPS; algorithm; algorithms; artificial intelligence; artificial intelligence sy |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-7908-1774-4 |
| isbn_softcover | 978-3-7908-2518-3 |
| isbn_ebook | 978-3-7908-1774-4Series ISSN 1434-9922 Series E-ISSN 1860-0808 |
| issn_series | 1434-9922 |
| copyright | Springer-Verlag Berlin Heidelberg 2002 |
|Archiver|手機版|小黑屋|
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