Agent-Based Knowledge Discovery
W. H. E. Davies, Peter J. Edwards · Aberdeen University Research Archive (Aberdeen University) · 1995
Agent-Based Knowledge Discovery provides a new technique for performing data-mining over distributed databases. By combining techniques from Distributed AI and Machine Learning, software agents equipped with learning algorithms mine local databases. These agents then co-operate to integrate the knowledge obtained, before presenting the results to the user. We are currently exploring the use of a new software agent language, Agent-K and the application of first order learning techniques to data-mining. However, the main area of investigation is how the agents should interact, and how the knowledge should be integrated. Introduction This paper describes our current research 1 which spans the fields of knowledge discovery and software agents. Knowledge discovery (or data-mining) is concerned with extracting knowledge from databases and/or knowledge bases (Piatetsky-Shapiro & Frawley, 1991). Most datamining systems employ one or more machine learning techniques to find previo...