Improving Source Selection in Analogical Reasoning An Interactionist Approach

William Stubblefeld & George Luger

The success of any analogical reasoner depends upon its ability to select a relevant source. We can improve source selection by more completely integrating the process of source retrieval with analogical inference, and by using experience in solving target problems to find properties that effectively predict a source’s relevance to future targets. This paper describes the design and evaluation of SCAVENGER, an analogical reasoning program that we have built to test these ideas.


This page is copyrighted by AAAI. All rights reserved. Your use of this site constitutes acceptance of all of AAAI's terms and conditions and privacy policy.