Knowledge Discovery in Chess Databases: A Research Proposal

In this paper we argue that chess databases have a significant potential as a test-bed for techniques in the area of Knowledge Discovery in Databases (KDD). Conversely, we think that research in Artificial Intelligence has not yet come up with reasonable solutions for the knowledge representation and reasoning problems that are posed by knowledgebased computer chess programs, and consequently argue that KDD techniques could be useful for the advancement of various types of knowledgebased computer chess systems. Although we cannot present any concrete results, we hope to outline some fruitful directions for further research and exchange of ideas between the KDD and computer chess communities. 1 Introduction Knowledge Discovery in Databases (KDD) or Data Mining is a rapidly growing research area which focuses on the discovery of useful and understandable pieces of knowledge from databases [Frawley et al., 1992; Fayyad et al., 1996] . On the other hand, the rapid increase in computing p..