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Top Cogn Sci. 2015 Apr;7(2):217-29. doi: 10.1111/tops.12142. Epub 2015 Apr 20.

Rational use of cognitive resources: levels of analysis between the computational and the algorithmic.

Author information

1
Department of Psychology, University of California, Berkeley.

Abstract

Marr's levels of analysis-computational, algorithmic, and implementation-have served cognitive science well over the last 30 years. But the recent increase in the popularity of the computational level raises a new challenge: How do we begin to relate models at different levels of analysis? We propose that it is possible to define levels of analysis that lie between the computational and the algorithmic, providing a way to build a bridge between computational- and algorithmic-level models. The key idea is to push the notion of rationality, often used in defining computational-level models, deeper toward the algorithmic level. We offer a simple recipe for reverse-engineering the mind's cognitive strategies by deriving optimal algorithms for a series of increasingly more realistic abstract computational architectures, which we call "resource-rational analysis."

KEYWORDS:

Algorithmic level; Bayesian models of cognition; Computational level; Levels of analysis; Rational process models; Resource-rational models

PMID:
25898807
DOI:
10.1111/tops.12142
[Indexed for MEDLINE]
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