Abstract
This article surveys some psychological research on analogy and the theoretical notions that it spawned, which in turn have served as some of the foundationalnotions in AI models. A number of AI models of analogy are described. It is argued that future efforts could be based on the integration of the key insights of the models. This includes the incorporation of contextual information, the construction of dynamic semantic bases, the incorporation of multiple approaches to the problem of inference generation and constraint, and the construction of systems that can be used as test beds or tool kits for the analysis of representational and inference schemes. Along with the prospects, there are also pointers to the lingering issues.
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