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• W109292918 abstract "We make use of a probabilistic model in order to formalize the basic assumption underlying case-based reasoning (CBR), suggesting that problems have similar Taking this model as a point of departure, we propose a similarity-guided inference scheme in which case-based evidence is represented in the form of belief functions over the set of solutions, and in which the combination of evidence derived from individual cases is considered in the context of information fusion. Our approach is meant to support the overall process of problem solving by estimating the quality of potential solutions. Besides, it reveals that probabilistic methods and related techniques from the field of reasoning under uncertainty provide a convenient framework in which parts of the CBR methodology can be formalized. This framework seems particularly suitable since it allows for taking the heuristic and, hence, uncertain character of case-based problem solving into account." @default.
• W109292918 created "2016-06-24" @default.
• W109292918 creator A5059439673 @default.
• W109292918 date "2000-08-20" @default.
• W109292918 modified "2023-10-01" @default.
• W109292918 title "Similarity-based inference as evidential reasoning" @default.
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