Algorithms for Scaling in a General Episodic Memory

Episodic memory endows autonomous agents with useful cognitive capabilities. However, for long-lived agents, there are numerous unexplored computational challenges in supporting useful episodic-memory functions while maintaining real-time reactivity. This paper presents and summarizes the evaluation of an algorithmic variant to the task-independent episodic memory of Soar that expands the class of tasks and cues the mechanism can support while remaining reactive over long agent lifetimes.

Authors

• Nate Derbinsky
• Justin Li
• John Laird

Keywords

• Computational architectures for learning
• Single agent learning