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Parallel structures in human and computer memory
Author(s) -
Pentti Kanerva
Publication year - 1986
Publication title -
aip conference proceedings
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.177
H-Index - 75
eISSN - 1551-7616
pISSN - 0094-243X
ISBN - 0-88318-351-X
DOI - 10.1063/1.36276
Subject(s) - computer science , encode , human memory , recall , construct (python library) , frame (networking) , fuzzy logic , artificial intelligence , computer memory , cognitive science , semiconductor memory , neuroscience , cognitive psychology , computer hardware , psychology , cognition , programming language , telecommunications , biochemistry , chemistry , gene
If one thinks of our experiences as being recorded continuously on film, then human memory can be compared to a film library that is indexed by the contents of the film strips stored in it. Moreover, approximate retrieval cues suffice to retrieve information stored in this library. One recognizes a familiar person in a fuzzy photograph or a familiar tune played on a strange instrument. A computer memory that would allow a computer to recognize patterns and to recall sequences the way humans do is constructed. Such a memory is remarkably similiar in structure to a conventional computer memory and also to the neural circuits in the cortex of the cerebellum of the human brain. It is concluded that the frame problem of artificial intelligence could be solved by the use of such a memory if one were able to encode information about the world properly.

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