Case-based reasoning adaptation for high dimensional solution space

Abstract

Case-Based Reasoning (CBR) is a methodology that reuses the solutions of previous similar problem to solve new problems. Adaptation is one of the most difficult parts of CBR cycle, especially, when the solution space with multi-dimension. This paper discusses the adaptation of high dimensional solution space and proposes a possible approach for it. Visualisation induced Self Organising Map (ViSOM) is used to map the problem space and solution space first, then a BackPropagation (BP) network is applied to analyse the relations between these two maps. A simple military scenario is used as case study for evaluation. © Springer-Verlag Berlin Heidelberg 2007.