The structure-mapping engine: algorithm and examples
Artificial Intelligence
Learning from physical analogies: a study in analogy and the explanation process
Learning from physical analogies: a study in analogy and the explanation process
Remindings in learning and instruction
Similarity and analogical reasoning
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Building Large Knowledge-Based Systems; Representation and Inference in the Cyc Project
Analogical processing: a simulation and empirical corroboration
AAAI'87 Proceedings of the sixth National conference on Artificial intelligence - Volume 1
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Similarity permeates human cognition. There is evidence that objects are categorized based partly on similarity to previous category members and that the likelihood of transfer is governed by the similarity between the original and current situations. New problems are often solved by analogy to prior problems. Similarity is responsible for many human errors, such as perceptual confusions and many recall intrusions; but at the same time, analogy and similarity are important in scientific discovery. Consequently, we are developing a cognitive architecture in which similarity computations play a central role. This is unlike most architectural approaches, which either do not treat analogy and similarity computations play a central role. This is unlike most architectural approaches, which either do not treat analogy and similarity at all, or relegate them to a subsidiary role, to be called in sporadically when other mechanisms are stuck. We are using Gentner's Structure-Mapping theory [12] as our framework for defining similarity computations.The rest of this note addresses the list of issues suggested by the symposium organizers.