UC Merced Proceedings of the Annual Meeting of the Cognitive Science Society Title A Model of Analogical Retrieval Using Intermediate Features Publication Date A Model of Analogical Retrieval Using Intermediate Features

Finlayson, Alan Mark, Patrick Winston, Henry, Mark Finlayson, Patrick Winston
2004 Proceedings of the Annual Meeting of the Cognitive Science Society   unpublished
We present a model of analogical recall in people which draws inspiration from recent work in visual classification by Ullman (2002). Our model is intended to unify two bodies of evidence regarding recall in people: on the one hand, we seek to cover a body of evidence that indicates people drawn from a population without regard to task expertise are heavily influenced by surface similarity during retrieval; on the other hand, we also seek to account for the fact that experts are able to achieve
more » ... are able to achieve analogical recall on a consistent basis. Our model works by breaking the symbolic graph representation of an input situation into sub-graph structures (structures we call features), and looking for these features in other situations. By varying the informativeness of the features we use to retrieve situations, we are able to promote or suppress analogical retrieval.
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