1994INFORMS Journal on Applied AnalyticsRequires access

How Case-Based Reasoning Solves New Problems

Uma G. Gupta

Open publisher page 37 citations

Abstract

Case-based reasoning (CBR) captures lessons from past problem-solving experiences to critique or find solutions to new problems. Case-based reasoning systems have been used in several domains, both as a problem-solving methodology and as a cognitive model of the reasoning capabilities of the human mind. It is both a problem-solving approach and a computer aid that augments the memory of the human expert.

About this research paper

What this paper is about

Case-based reasoning (CBR) captures lessons from past problem-solving experiences to critique or find solutions to new problems. Case-based reasoning systems have been used in several domains, both as a problem-solving methodology and as a cognitive model of the reasoning capabilities of the human mind. It is both a problem-solving approach and a computer aid that augments the memory of the human expert.

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OpenAlex reports 37 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Case-based reasoning (CBR) captures lessons from past problem-solving experiences to critique or find solutions to new problems. Case-based reasoning systems have been used in several domains, both as a problem-solving methodology and as a cognitive model of the reasoning capabilities of the human mind. It is both a problem-solving approach and a computer aid that augments the memory of the human expert.

Key concepts: Adaptive reasoning, Case-based reasoning, Opportunistic reasoning, Model-based reasoning, Reasoning system, Computer science, Qualitative reasoning, Cognition

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