Topics in Cognitive Science 6 (2):279-311 (2014)
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Abstract |
We propose a framework for including information-processing bounds in rational analyses. It is an application of bounded optimality (Russell & Subramanian, 1995) to the challenges of developing theories of mechanism and behavior. The framework is based on the idea that behaviors are generated by cognitive mechanisms that are adapted to the structure of not only the environment but also the mind and brain itself. We call the framework computational rationality to emphasize the incorporation of computational mechanism into the definition of rational action. Theories are specified as optimal program problems, defined by an adaptation environment, a bounded machine, and a utility function. Such theories yield different classes of explanation, depending on the extent to which they emphasize adaptation to bounds, and adaptation to some ecology that differs from the immediate local environment. We illustrate this variation with examples from three domains: visual attention in a linguistic task, manual response ordering, and reasoning. We explore the relation of this framework to existing “levels” approaches to explanation, and to other optimality-based modeling approaches
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Keywords | Cognitive modeling Bounded rationality Bounded optimality Rationality Utility maximization Rational analysis Cognitive architecture |
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DOI | 10.1111/tops.12086 |
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References found in this work BETA
Bayesian Rationality: The Probabilistic Approach to Human Reasoning.Mike Oaksford & Nick Chater - 2007 - Oxford University Press.
Reasoning.Peter C. Wason - 1966 - In B. Foss (ed.), New Horizons in Psychology. Harmondsworth: Penguin Books. pp. 135-151.
View all 24 references / Add more references
Citations of this work BETA
Reward Is Enough.David Silver, Satinder Singh, Doina Precup & Richard S. Sutton - forthcoming - Artificial Intelligence:103535.
Rational Use of Cognitive Resources: Levels of Analysis Between the Computational and the Algorithmic.Thomas L. Griffiths, Falk Lieder & Noah D. Goodman - 2015 - Topics in Cognitive Science 7 (2):217-229.
Computable Rationality, NUTS, and the Nuclear Leviathan.S. M. Amadae - 2018 - In Daniel Bessner & Nicolas Guilhot (eds.), The Decisionist Imagination: Democracy, Sovereignty and Social Science in the 20th Century. New York, NY, USA:
Can Resources Save Rationality? ‘Anti-Bayesian’ Updating in Cognition and Perception.Eric Mandelbaum, Isabel Won, Steven Gross & Chaz Firestone - 2020 - Behavioral and Brain Sciences 143:e16.
View all 23 citations / Add more citations
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