书目名称 | Propositional, Probabilistic and Evidential Reasoning | 副标题 | Integrating Numerica | 编辑 | Weiru Liu | 视频video | | 概述 | The reader gains relatively complete knowledge about how a pure numerical, pure symbolic, or hybrid system behaves.Systemati review of the work on integrating numerical and symbolic approaches.Illustr | 丛书名称 | Studies in Fuzziness and Soft Computing | 图书封面 |  | 描述 | How to draw plausible conclusions from uncertain and conflicting sources of evidence is one of the major intellectual challenges of Artificial Intelligence. It is a prerequisite of the smart technology needed to help humans cope with the information explosion of the modern world. In addition, computational modelling of uncertain reasoning is a key to understanding human rationality. Previous computational accounts of uncertain reasoning have fallen into two camps: purely symbolic and numeric. This book represents a major advance by presenting a unifying framework which unites these opposing camps. The Incidence Calculus can be viewed as both a symbolic and a numeric mechanism. Numeric values are assigned indirectly to evidence via the possible worlds in which that evidence is true. This facilitates purely symbolic reasoning using the possible worlds and numeric reasoning via the probabilities of those possible worlds. Moreover, the indirect assignment solves some difficult technical problems, like the combinat ion of dependent sources of evidcence, which had defeated earlier mechanisms. Weiru Liu generalises the Incidence Calculus and then compares it to a succes sion of earlier co | 出版日期 | Book 2001 | 关键词 | Symbol; artificial intelligence; intelligence; knowledge representation; nonmonotonic reasoning; sets; unc | 版次 | 1 | doi | https://doi.org/10.1007/978-3-7908-1811-6 | isbn_softcover | 978-3-7908-2493-3 | isbn_ebook | 978-3-7908-1811-6Series ISSN 1434-9922 Series E-ISSN 1860-0808 | issn_series | 1434-9922 | copyright | Springer-Verlag Berlin Heidelberg 2001 |
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