Modified sparse distributed memory as transient episodic memory for cognitive software agents
Uma Ramamurthy, Sidney K. D’Mello, Stan Franklin · 2005
This paper presents a modified sparse distributed memory architecture for use in software agents with natural language processing capabilities. We have modified Kanerva's sparse distributed memory (SDM) into an architecture with a ternary memory space. This enables the memory to be used in IDA, the intelligent distribution agent built for the U.S. Navy. IDA implements Boars' global workspace theory, a psychological theory of consciousness. As a result, it can react to novel and problematic situations in a more flexible, more human-like way than traditional AI systems. IDA performs a function, namely billet assignment, therefore reserved for humans. We argue that such flexibility requires advanced memory systems such as transient episodic memory and autobiographical memory. Here, we present the architecture, tests and results of this modified SDM system which can be used as a transient episodic memory in suitable software agents.