期刊
TRENDS IN COGNITIVE SCIENCES
卷 25, 期 3, 页码 240-251出版社
CELL PRESS
DOI: 10.1016/j.tics.2020.12.008
关键词
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资金
- Center for Brains, Minds and Machines (CBMM) - NSF STC award [CCF-1231216]
- [N00014-17-1-2961]
By storing and reusing computational results, cognitive processes such as mental arithmetic, mental imagery, planning, and probabilistic inference all rely on memory to facilitate efficient computation.
Computer scientists have long recognized that naive implementations of algorithms often result in a paralyzing degree of redundant computation. More sophisticated implementations harness the power of memory by storing computational results and reusing them later. We review the application of these ideas to cognitive science, in four case studies (mental arithmetic, mental imagery, planning, and probabilistic inference). Despite their superficial differences, these cognitive processes share a common reliance on memory that enables efficient computation.
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