Abstract: Methods of analogous reasoning and case-based reasoning for intelligent decision support systems are considered. Special attention is drawn to methods based on a structural analogy that take the context into account. This work was supported by RFBR (projects 02-07-90042, 05-07-90232).

ACM Classification Keywords: I.2.6 Artificial intelligence: Learning – analogies; I.2.4 Artificial intelligence: Knowledge Representation Formalisms and Methods – semantic networks.

Link:

ANALOGOUS REASONING AND CASE-BASED REASONING FOR INTELLIGENT DECISION SUPPORT SYSTEMS

Alexander Eremeev, Pavel Varshavsky

http://www.foibg.com/ijita/vol13/ijita13-4-p03.pdf