C4.5: programs for machine learning
C4.5: programs for machine learning
Data mining
Agent technology: foundations, applications, and markets
Agent technology: foundations, applications, and markets
A new and versatile method for association generation
Information Systems
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: practical machine learning tools and techniques with Java implementations
Data mining: concepts and techniques
Data mining: concepts and techniques
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Data Mining: An Overview from a Database Perspective
IEEE Transactions on Knowledge and Data Engineering
Combining Inductive and Deductive Inference in Knowledge Management Tasks
DEXA '00 Proceedings of the 11th International Workshop on Database and Expert Systems Applications
Robust classification with context-sensitive features
IEA/AIE'93 Proceedings of the 6th international conference on Industrial and engineering applications of artificial intelligence and expert systems
Fuzzy lattice reasoning (FLR) classifier and its application for ambient ozone estimation
International Journal of Approximate Reasoning
Training Intelligent Agents in the Semantic Web Era: The Golf Advisor Agent
WI-IATW '07 Proceedings of the 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops
An integrated infrastructure for monitoring and evaluating agent-based systems
Expert Systems with Applications: An International Journal
Exhaustive simulation of consecutive mental states of human agents
Knowledge-Based Systems
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Data mining has proven a successful gateway for discovering useful knowledge and for enhancing business intelligence in a range of application fields. Incorporating this knowledge into already deployed applications, though, is highly impractical, since it requires reconfigurable software architectures, as well as human expert consulting. In an attempt to overcome this deficiency, we have developed Agent Academy, an integrated development framework that supports both design and control of multi-agent systems (MAS), as well as ''agent training''. We define agent training as the automated incorporation of logic structures generated through data mining into the agents of the system. The increased flexibility and cooperation primitives of MAS, augmented with the training and retraining capabilities of Agent Academy, provide a powerful means for the dynamic exploitation of data mining extracted knowledge. In this paper, we present the methodology and tools for agent retraining. Through experimented results with the Agent Academy platform, we demonstrate how the extracted knowledge can be formulated and how retraining can lead to the improvement - in the long run - of agent intelligence.