Employing intelligent agents for knowledge discovery

Abstract

Summary form only given, substantially as follows. Compares and contrasts alternative approaches currently in use as methodologies for 'data mining' and knowledge discovery. Specifically, the author focuses on the use of intelligent agents for mining important relationships and patterns, as well as the value of knowledge induction as a basis for quick and accurate discovery of vital information. Beginning with a quick tutorial on how intelligent agent architectures fit within the current n-tier network infrastructure, the author discusses in detail how to build a network or topology of agents representing the important relationships that support the research and discovery efforts.