| 書目名稱 | Proceedings of the ISSEK94 Workshop on Mathematical and Statistical Methods in Artificial Intelligence |
| 編輯 | G. Riccia,R. Kruse,R. Viertl |
| 視頻video | http://file.papertrans.cn/759/758591/758591.mp4 |
| 叢書名稱 | CISM International Centre for Mechanical Sciences |
| 圖書封面 |  |
| 描述 | In recent years it has become apparent that an important part of the theory of Artificial Intelligence is concerned with reasoning on the basis of uncertain, incomplete or inconsistent information. Classical logic and probability theory are only partially adequate for this, and a variety of other formalisms have been developed, some of the most important being fuzzy methods, possibility theory, belief function theory, non monotonic logics and modal logics.The aim of this workshop was to contribute to the elucidation of similarities and differences between the formalisms mentioned above. |
| 出版日期 | Conference proceedings 1995 |
| 關(guān)鍵詞 | artificial intelligence; fuzzy methods; intelligence; probability; probability theory; statistical method |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-7091-2690-5 |
| isbn_softcover | 978-3-211-82713-0 |
| isbn_ebook | 978-3-7091-2690-5Series ISSN 0254-1971 Series E-ISSN 2309-3706 |
| issn_series | 0254-1971 |
| copyright | Springer-Verlag Wien 1995 |
|Archiver|手機(jī)版|小黑屋|
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