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Titlebook: Advances in Intelligent Computing - IPMU ‘94; 5th International Co Bernadette Bouchon-Meunier,Ronald R. Yager,Lotfi A Conference proceeding

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期刊全称Advances in Intelligent Computing - IPMU ‘94
期刊简称5th International Co
影响因子2023Bernadette Bouchon-Meunier,Ronald R. Yager,Lotfi A
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学科分类Lecture Notes in Computer Science
图书封面Titlebook: Advances in Intelligent Computing - IPMU ‘94; 5th International Co Bernadette Bouchon-Meunier,Ronald R. Yager,Lotfi A Conference proceeding
影响因子This book presents a topical selection of full refereed research papers presented during the 5th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU ‘94, held in Paris, France in July 1994. The topical focus is on the role of uncertainty in the contruction of intelligent computing systems and it is shown how the concepts of AI, neural networks, and fuzzy logic can be utilized for that purpose..In total, there are presented 63 thoroughly revised papers organized in sections on fundamental issues; theory of evidence; networks, probabilistic, statistical, and informational methods; possibility theory, logics, chaos, reusability, and applications.
Pindex Conference proceedings 1995
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978-3-540-60116-6Springer-Verlag Berlin Heidelberg 1995
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Fundamental Theories of Physicsd probability and non probability models, according to the fact they are based on probability theory or not. The first group concerns the upper and lower probability models, the second the possibility theory and the transferable belief model.
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Introduction to Electrical Relaxationtegral, belief measures can be extended to be coherent lower previsions on the linear space consisting of all bounded functions. As a special case, we establish that all belief measures are coherent imprecise probabilities.
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An Introduction to Nested Samplingl probability bounds defined on . is considered. Following the approach of de Finetti we define the concept of coherence for the given set of bounds. Then, some results on the probabilistic consistency of the knowledge base are obtained. Finally, an algorithm to check the coherence of the set of bounds is described and some examples are examined.
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https://doi.org/10.1007/978-3-662-06261-6ciences [1]. Both types of models involve directed acyclic graphs with variables as nodes, and in both cases there is much mysterious talk about causal interpretation. This paper uses probability trees to give precise conditions under which Bayes nets can be said to have a causal interpretation. Pro
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