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Memory as a Computational Resource
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DOI：10.1016/j.tics.2020.12.008.png)
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Abstract
En 中文
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.
Keywords:
MENTAL ROTATION
MODEL
COMPILATION
INTEGRATION
PERCEPTION
RETRIEVAL
ALGORITHM
NETWORKS
BELIEFS
SYSTEMS
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