Improving accuracy by combining rule-based and case-based reasoning

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Improving Accuracy by Combining Rule-based and Case-based Reasoning Improving Accuracy by Combining Rule-based and Case-based Reasoning

An architecture is presented for combining rule-based and case-based reasoning. The architecture is intended for domains that are understood reasonably well, but still imperfectly. It uses a set of rules, which are taken to be only approximately correct, to obtain a preliminary answer for a given problem; it then draws analogies from cases to handle exceptions to the rules. Having rules togethe...

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Improving Accuracy by Combining Rule-Based and Case-Based Reasoning

An architecture is presented for combining rule-based and case-based reasoning. The architecture is intended for domains that are understood reasonably well, but still imperfectly. It uses a set of rules, which are taken to be only approximately correct, to obtain a preliminary answer for a given problem; it then draws analogies from cases to handle exceptions to the rules. Having rules togethe...

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Categorizing approaches combining rule-based and case-based reasoning

Rule-based and case-based reasoning are two popular approaches used in intelligent systems. Rules usually represent general knowledge, whereas cases encompass knowledge accumulated from specific (specialized) situations. Each approach has advantages and disadvantages, which are proved to be complementary in a large degree. So, it is well-justified to combine rules and cases to produce effective...

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Combining Case-Based and Rule-Based Reasoning: A Heuristic Approach

In this paper we discuss a heuristically control led approach to combining reasoning w i th cases and reasoning w i th rules. Our task is interpretat ion of under-defined terms that occur in legal statutes (like the Internal Revenue Code) where certain terms must be applied to part icular cases even though their meanings are not defined by the statute and the statutory rules are unclear as to s...

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Multimodal Inductive Reasoning: Combining Rule-Based and Case-Based Learning

Pedro Domingos Sec. Sistemas, Dept. Eng. Mecfiafica Instituto Superior T6cnico Av. Rovisco Pais Lisbon 1096, Portugal pedrod~gia.ist.utl.pt http://www.gia.ist.utl.pt/~pedrod Multimodal inductive reasoning is the combination of multiple learning paradigms in a single system. This article describes RISE, a combination of rule induction and case-based (or instance-based) learning, and uses experim...

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ژورنال

عنوان ژورنال: Artificial Intelligence

سال: 1996

ISSN: 0004-3702

DOI: 10.1016/0004-3702(95)00120-4