Abstract: Development of methods and tools for modeling human reasoning (common sense reasoning) by analogy in intelligent decision support systems is considered. Special attention is drawn to modeling reasoning by structural analogy taking the context into account. The possibility of estimating the obtained analogies taking into account the context is studied. This work was supported by RFBR.

Keywords: Intelligent decision support systems, expert diagnostics systems, analogous reasoning, case-based reasoning.

ACM Classification Keywords: H.4.2 Information systems applications: Types of systems – Decision support; I.2.5 Artificial intelligence: Programming Languages and Software – Expert system tools and techniques; I.2.6 Artificial intelligence: Learning – Analogies.

Link:

REASONING BY STRUCTURAL ANALOGY TAKING INTO ACCOUNT THE CONTEXT FOR INTELLIGENT DECISION SUPPORT SYSTEMS

Alexander Eremeev, Pavel Varshavskiy

http://www.foibg.com/ibs_isc/ibs-03/IBS-03-p01.pdf