| 書目名稱 | Modelling and Reasoning with Vague Concepts |
| 編輯 | Jonathan Lawry |
| 視頻video | http://file.papertrans.cn/637/636608/636608.mp4 |
| 概述 | Gives a "semantic" treatment of vague concepts in AI emphasizing the operational interpretation of the measures proposed.Brings a new perspective on modeling vague concepts by focusing on the decision |
| 叢書名稱 | Studies in Computational Intelligence |
| 圖書封面 |  |
| 描述 | Vague concepts are intrinsic to human communication. Somehow it would seems that vagueness is central to the flexibility and robustness of natural l- guage descriptions. If we were to insist on precise concept definitions then we would be able to assert very little with any degree of confidence. In many cases our perceptions simply do not provide sufficient information to allow us to verify that a set of formal conditions are met. Our decision to describe an individual as ‘tall‘ is not generally based on any kind of accurate measurement of their height. Indeed it is part of the power of human concepts that they do not require us to make such fine judgements. They are robust to the imprecision of our perceptions, while still allowing us to convey useful, and sometimes vital, information. The study of vagueness in Artificial Intelligence (AI) is therefore motivated by the desire to incorporate this robustness and flexibility into int- ligent computer systems. This goal, however, requires a formal model of vague concepts that will allow us to quantify and manipulate the uncertainty resulting from their use as a means of passing information between autonomous agents. I first became int |
| 出版日期 | Book 2006 |
| 關(guān)鍵詞 | Computer; Information; Regression; algorithm; algorithms; artificial intelligence; automated reasoning; aut |
| 版次 | 1 |
| doi | https://doi.org/10.1007/0-387-30262-X |
| isbn_softcover | 978-1-4899-8605-4 |
| isbn_ebook | 978-0-387-30262-1Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | Springer-Verlag US 2006 |
|Archiver|手機(jī)版|小黑屋|
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