The evolution of decision rules in complex environments
Highlights • In natural environments, conditions are often heterogeneous and autocorrelated. • Decision rules will have evolved to exploit this statistical structure. • In simplified environments, such rules can lead to apparently irrational behaviour. • This may explain intransitivity, contrast eff...
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| Veröffentlicht in: | Trends in cognitive sciences 2014-03, Vol.18 (3), p.153-161 |
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| container_end_page | 161 |
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| container_title | Trends in cognitive sciences |
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| creator | Fawcett, Tim W Fallenstein, Benja Higginson, Andrew D Houston, Alasdair I Mallpress, Dave E.W Trimmer, Pete C McNamara, John M |
| description | Highlights • In natural environments, conditions are often heterogeneous and autocorrelated. • Decision rules will have evolved to exploit this statistical structure. • In simplified environments, such rules can lead to apparently irrational behaviour. • This may explain intransitivity, contrast effects, pessimism, and other biases. • Models and experiments on decision-making should consider richer environments. |
| doi_str_mv | 10.1016/j.tics.2013.12.012 |
| format | Article |
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| identifier | ISSN: 1364-6613 |
| ispartof | Trends in cognitive sciences, 2014-03, Vol.18 (3), p.153-161 |
| issn | 1364-6613 1879-307X |
| language | eng |
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| source | MEDLINE; Access via ScienceDirect (Elsevier) |
| subjects | Adaptation, Psychological Animals Biological and medical sciences Biological Evolution Cognition. Intelligence Decision Making Environment Fundamental and applied biological sciences. Psychology Humans Miscellaneous Models, Psychological Neurology Psychiatry Psychology. Psychoanalysis. Psychiatry Psychology. Psychophysiology |
| title | The evolution of decision rules in complex environments |
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