Modeling Single-Task Performance Improvement Using EPIC-Soar

Ronald S. Chong

We present a task-independent learning procedure which produces gradual performance improvement through experience on a perceptual-motor task. It utilizes a data structure that represents a strategy for performing the task. This learning procedure is a direct result of the constraints that occur when realistic perceptual and motor mechanisms (EPIC) are mated to a learning cognitive modeling architecture (Soar).

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