Agent-Based Knowledge Discovery

Information Gathering from Heterogeneous, Distributed Environments

Volume

Papers from the 1995 AAAI Spring Symposium

Contents

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.