Uncertainty in artificial intelligence
نویسندگان
چکیده
منابع مشابه
Uncertainty in Artificial Intelligence
spirit, Fu (p. 119) presented a method of nonmonotonic reasoning in a neural net representation. A theme from the 1987 workshop, control of inference processes, is developed both as a method of limiting combinatorics and as an inherent component of AI systems. D’Ambrosio (p. 64) and Jimison (p. 189) presented methods for modular, interactive system modeling, inference, and control. Utility theo...
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Uncertainty exists widely in the subjective and objective world. In all kinds of uncertainty, randomness and fuzziness are the most important and fundamental. In this paper, the relationship between randomness and fuzziness is discussed. Uncertain states and their changes can be measured by entropy and hyper-entropy respectively. Taken advantage of entropy and hyper-entropy, the uncertainty of ...
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In distributed arti cial intelligence systems it is important that the constituent intelligent systems communicate This may be a problem if the systems use di erent methods to represent uncertain in formation This paper presents a method that enables systems that use di erent uncertainty handling formalisms to qualitatively integrate their uncertain information and argues that this makes it pos...
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ژورنال
عنوان ژورنال: The Knowledge Engineering Review
سال: 1994
ISSN: 0269-8889,1469-8005
DOI: 10.1017/s0269888900006597