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How to Design and Implement a Structured Curriculum in Health Professions Education: A Nine-Step Framework Building on Kern's Approach. [PDF]
Clin TeachEscourrou É, Oustric S.
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Psychological assessment in forensic settings: new methodological conceptions and ethical considerations. [PDF]
Front PsycholVerde A, Gritti ES.
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An introduction to case-based reasoning
Artificial Intelligence Review, 1992Case-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
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Conversational Case-Based Reasoning
Applied Intelligence, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
David W. Aha +2 more
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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 (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, 1994Abstract 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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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 +2 more
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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 +2 more
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Reasoning with reasons in case-based comparisons
1995In 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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The Knowledge Engineering Review, 2005
A primary research stream that contributed to the birth of case-based reasoning (CBR) was Artificial Intelligence and Law. Since law is largely about cases, it is a particularly interesting domain for CBR researchers. This article surveys some of the historically significant systems and developments in this field.
Rissland, EL, Ashley, KD, Branting, LK
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A primary research stream that contributed to the birth of case-based reasoning (CBR) was Artificial Intelligence and Law. Since law is largely about cases, it is a particularly interesting domain for CBR researchers. This article surveys some of the historically significant systems and developments in this field.
Rissland, EL, Ashley, KD, Branting, LK
openaire +1 more source