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How to Implement Structured Case-Based Resource Sessions Within the Medical Curriculum. [PDF]

Adv Med Educ Pract
Tobón GJ.
europepmc   +1 more source

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An introduction to case-based reasoning

Artificial Intelligence Review, 1992
Case-based reasoning means using old experiences to understand and solve new problems. In case-based reasoning, a reasoner remembers a previous situation similar to the current one and uses that to solve the new problem. Case- based reasoning can mean adapting old solutions to meet new demands; using old cases to explain new situations; using old cases
Janet L Kolodner
exaly   +2 more sources

Conversational Case-Based Reasoning

Applied Intelligence, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
David W. Aha, Len Breslow, Héctor Muñoz-Avila   +2 more
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Case-based reasoning

The Knowledge Engineering Review, 1994
Case-based reasoning (CBR) systems reason from experience: they solve new problems by retrieving relevant prior cases and adapting them to fit new situations. In 1988 the first case-based reasoning workshop, sponsored by DARPA, identified theoretical foundations and fundamental issues for case-based reasoning research.
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Case-based reasoning: A review

The Knowledge Engineering Review, 1994
Abstract Case-Based Reasoning (CBR) is a relatively recent problem solving technique that is attracting increasing attention. However, the number of people with first-hand theoretical or practical experience of CBR is still small.
Ian D. Watson, Farhi Marir
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Reasoning with reasons in case-based comparisons

1995
In this work, we are interested in how rational decision makers reason with and about reasons in a domain, practical ethics, where they appear to reason about reasons symbolically in terms of both abstract moral principles and case comparisons. The challenge for reasoners, human and artificial, is to use abstract knowledge of reasons and principles to ...
Kevin D. Ashley, Bruce M. McLaren
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Soft case-based reasoning

The Knowledge Engineering Review, 2005
The aim of this commentary is to discuss the contribution of soft computing—a consortium of fuzzy logic, neural network theory, evolutionary computing, and probabilistic reasoning—to the development of case-based reasoning (CBR) systems. We will describe how soft computing has been used in case representation, retrieval, adaptation, reuse, and case ...
William Cheetham, Simon C. K. Shiu, Rosina O. Weber   +2 more
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Ceaseless Case-Based Reasoning

2004
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Francisco J. Martín, Enric Plaza
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Representation in case-based reasoning

The Knowledge Engineering Review, 2005
A case in case-based reasoning is a contextualized piece of experience, which can be represented in various forms. Traditional approaches can be classified into three main categories: feature vector representations , structured representations , and
Ralph Bergmann, Janet L. Kolodner, Enric Plaza   +2 more
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