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Case based reasoning
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Case Based Reasoning (CBR) is a generalization of multiple learning techniques that uses reminding's of similar situations in order to solve new problems. One of the key issues in CBR is the ability to identify these reminding's through alternative indexes. Providing an adequate set of indexes provides a learner the random access required to support advanced knowledge acquisition in domains that are ill-structured. Combining CBR with hypertext can provide an environment that supports constructivism and the cognitive flexibility necessary for advanced learning. In this paper I provide a background of CBR, its foundations, and methodology. This is followed by a discussion of its applications in hypertext and how it can support the cognitive flexibility theory

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