C4.5: programs for machine learning
C4.5: programs for machine learning
Multiagent systems
A retraining methodology for enhancing agent intelligence
Knowledge-Based Systems
Data mining for agent reasoning: A synergy for training intelligent agents
Engineering Applications of Artificial Intelligence
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Agent training techniques study methods to embed empirical, inductive knowledge representations into intelligent agents, in dynamic, recursive or semi-automated ways, expressed in forms that can be used for agent reasoning. This paper investigates how data-driven rule-sets can be transcribed into ontologies, and how semantic web technologies as OWL can be used for representing inductive systems for agent decision-making. The method presented avoids the transliteration of data-driven knowledge into conventional if-then-else systems, rather demonstrates how inferencing through description logics and Semantic Web inference engines can be incorporated into the training process of agents that manipulate categorical and/or numerical data.