BT Technology Journal
MESO: Supporting Online Decision Making in Autonomic Computing Systems
IEEE Transactions on Knowledge and Data Engineering
Agent's actions as a classification criteria for the state space in a learning from rewards system
Journal of Experimental & Theoretical Artificial Intelligence
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This paper reviews an on-line learning algorithm for incremental learning of memory-based utterance models.The simple core algorithm is augmented with a strategy for selecting the compression set - a subset of the input data that possesses some optimality characteristics.These sets are again found incrementally.Several strategies are formulated and empirically compared on three standard data sets. The algorithm is used as a perceptual learningcomponent of an adaptive autonomous agent.