Employing intelligent agents for knowledge discovery

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