Learning Planning Operators from Episodic Traces

Learning is an important aspect of human intelligence. People learn from various aspects of their experience over time. We present an episodic infrastructure for learning in the context of a cognitive architecture, \icarus/. After a review of this architecture, we formally define the architectural extensions for episodic capabilities. We then demonstrate the extended system's capability to learn planning operators using the episodic traces from two Minecraft-like scenarios.