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- W2572667492 abstract "Episodic memory systems for artificially intelligent agents must copewith an ever-growing episodic memory store. This paper presents an approach for minimizing the size of the store by using specialized hash functions to convert each memory into a relatively short binary code. A set of desiderata for such hash functions are presented including locale sensitivity and reversibility. The paper then introduces multiple approaches for such functions and compares their effectiveness." @default.
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- W2572667492 date "2016-03-30" @default.
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- W2572667492 title "Hash Functions for Episodic Recognition and Retrieval" @default.
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