Year: 2005
Type: article
Abstract: Two different sorts of retrieval in analogical tasks, novice-like and expert-like, have been demonstrated in psychological experiments.With recent computational work in object recognition as an inspiration, we propose the computation of intermediate features, and their use as triggers for retrieval, as the relevant constraint at the informational level of characterization of the retrieval process as seen in experts.We conduct computational experiments which show that, in conjunction with a feature-matching retrieval mechanism, features of an intermediate size and complexity give the strongest analogical retrieval.
Authors: Mark A. Finlayson, Patrick Henry Winston
Institution: Massachusetts Institute of Technology
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
Funder: National Science Foundation
OpenAlex ID: W2767712723