Abstract
This chapter presents a framework for expressing the relationship between rules and exemplars. This framework permits weak-theory domains to be characterized as domains lacking a particular kind of abstraction knowledge. Exemplars compensate for this deficiency in abstraction knowledge by providing a bridge between abstract features and case descriptions. However, matching new cases with exemplars usually requires general domain rules. Thus, rules and exemplars are mutually supporting in weak-theory domains.
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References
As explained in (Amarel, 1968) and (Barr and Feigenbaum, 1982), every reduction graph is isomorphic to a state-space graph.
The process of determining “implicit shared properties” of cases from differing explicit representations was termed reformulation in (Russell, 1986). A related notion in machine learning is constructive induction,which has been defined as “any form of induction that generates new descriptors not present in the input data” (Dietterich and Michalski, 1983).
For a formal model of burden of proof in legal argumentation, see (Freeman and Farley, 1996).
Note that this and the other matching steps in the explanations of NCI and NC2 require case elaboration, since they involve matching nonidentical case facts. For simplicity of presentation, these case elaboration steps are omitted.
The exact criteria for determining the effect on explanation strength of particular missing attributes may depend on the particular domain and problem-solving context (Murphy and Medin, 1985).
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© 2000 Springer Science+Business Media Dordrecht
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Branting, L.K. (2000). A Framework for Integrating Rules and Exemplars. In: Reasoning with Rules and Precedents. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-2848-5_2
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DOI: https://doi.org/10.1007/978-94-017-2848-5_2
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-5374-9
Online ISBN: 978-94-017-2848-5
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