Andreas L., Pericles A. Agent intelligence through data mining

Springer, 2005. — 202 p. — (Multiagent Systems, Artificial Societies, and Simulated Organizations Series 14). — ISBN 978-0-387-24352-8.This book addresses the arguably challenging problem of generating intelligence from data and transferring it to a separate, possibly autonomous, software entity. In its generality, the definition, generation, and transfer of intelligence is a difficult task better left to God or, at least, the very best of the AI gurus. The methodology is adapted and applied at three distinct levels of knowledge acquisition: a) the application data level, b) the agent-behavior data level, and c) agent communities. Several existing data mining techniques are considered and some new ones are described. We also present a number of generic multi-agent models and then show how the process can be applied and validated. Three representative test cases, corresponding to the above three levels, are described in detail.Concepts and TechniquesData Mining and Knowledge Discovery: A Brief Overview
Intelligent Agents and Multi-Agent Systems
Methodology
Exploiting Data Mining on Mas
Coupling Data Mining with Intelligent Agents
Knowledge Diffusion: Three Representative Test Cases
Data Mining on The Application Level of a Mas
Mining Agent Behaviors
Mining Knowledge for Agent Communities
Extensions...
Agent Retraning and Dynamical Improvement of Agent Intelligence
Areas of Application & Future Directions