A Boundedly Rational Decision Algorithm
Cognition requires scarce inputs, including time and concentration. Since cognition is costly, sophisticated decision-makers should use mental shortcuts, or heuristics, to reduce cognitive burdens. A model is proposed and tested that is motivated by these principles. It is believed this model achiev...
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| Published in | The American economic review Vol. 90; no. 2; pp. 433 - 438 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Menasha, Wis
American Economic Association
01.05.2000
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0002-8282 1944-7981 |
| DOI | 10.1257/aer.90.2.433 |
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| Abstract | Cognition requires scarce inputs, including time and concentration. Since cognition is costly, sophisticated decision-makers should use mental shortcuts, or heuristics, to reduce cognitive burdens. A model is proposed and tested that is motivated by these principles. It is believed this model achieves four goals. First, the model makes quantitative behavioral predictions and, hence, provides a precise alternative to the rational-actor hypothesis. Second, the model is psychologically plausible because it is based on the actual decisions algorithms that subjects claim to use. Third, the model is empirically testable; such a test is provided in this paper. Fourth, the model is broadly applicable, because it can be used to analyze decision problems that can be represented in tree form. |
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| AbstractList | Cognition requires scarce inputs, including time and concentration. Since cognition is costly, sophisticated decision-makers should use mental shortcuts, or heuristics, to reduce cognitive burdens. A model is proposed and tested that is motivated by these principles. It is believed this model achieves four goals. First, the model makes quantitative behavioral predictions and, hence, provides a precise alternative to the rational-actor hypothesis. Second, the model is psychologically plausible because it is based on the actual decisions algorithms that subjects claim to use. Third, the model is empirically testable; such a test is provided in this paper. Fourth, the model is broadly applicable, because it can be used to analyze decision problems that can be represented in tree form. |
| Author | Gabaix, Xavier Laibson, David |
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| Copyright | Copyright 2000 American Economic Association Copyright American Economic Association May 2000 |
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| SubjectTerms | Algorithms Cognition Cognition & reasoning Cognitive models Decision making Decision trees Discounting Economic models Economic theory Expected values Experimental data Game theory Heuristic Heuristics Modeling Preferences, Behavior, and Welfare Rationality Studies |
| Title | A Boundedly Rational Decision Algorithm |
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