使成整体
发表于 2025-3-25 07:20:55
Qing Wang,Hong Chen,Jinfeng Li,Dehai Zhuthrow light on this question from two different sides..The first part of this chapter (cf. also ) investigates how infering at optimum entropy fits the formal framework for nonmonotonic reasoning of . In particular, we show that any inference operation based on ME-reasoning is . and sa
他姓手中拿着
发表于 2025-3-25 08:44:39
https://doi.org/10.1007/978-3-662-50544-1s of reasoning in response to incoming information (cf. Chapter 2, in particular, Section 2.3). As we already pointed out, the crucial difference between both areas is the role of the knowledge base which is only implicit in nonmonotonic reasoning, but explicit and in fact in the focus of interest i
清楚说话
发表于 2025-3-25 12:24:02
Yuyong He,Zhigeng Pan,Haiying Zhaoil the formal properties of conditionals, how to represent them appropriately and how to handle them under change of beliefs. Solving these problems is a necessary prerequisite to arrive at a satisfactory representation and processing of knowledge. When designing an expert system, however, at first
Devastate
发表于 2025-3-25 17:48:08
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攀登
发表于 2025-3-25 22:53:36
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Proclaim
发表于 2025-3-26 01:35:50
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/235221.jpg
modifier
发表于 2025-3-26 08:01:37
Qing Wang,Hong Chen,Yan Liu,Dehai ZhuConditionals are closely connected with reasoning - typically, they suggest plausible, yet often defeasible conclusions from what is evident. Therefore, studying conditionals means primarily to overcome the strict framework of classical logic and to enter into the world of defeasible reasoning, nonmonotonic logics and uncertain knowledge.
Locale
发表于 2025-3-26 12:28:47
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蔓藤图饰
发表于 2025-3-26 15:41:02
Introduction,Conditionals are closely connected with reasoning - typically, they suggest plausible, yet often defeasible conclusions from what is evident. Therefore, studying conditionals means primarily to overcome the strict framework of classical logic and to enter into the world of defeasible reasoning, nonmonotonic logics and uncertain knowledge.
BLAND
发表于 2025-3-26 16:47:55
Algorithms and Implementations,In this chapter, we present a selection of various computational approaches to quantified uncertain reasoning and probabilistic knowledge discovery.