Context-sensitive valuation and learning
Autor: | Nathaniel D. Daw, Lindsay E. Hunter |
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Rok vydání: | 2021 |
Předmět: |
Computer science
Cognitive Neuroscience Scale (chemistry) 05 social sciences Foraging Context (language use) Article 050105 experimental psychology Variety (cybernetics) 03 medical and health sciences Behavioral Neuroscience Psychiatry and Mental health 0302 clinical medicine Risk analysis (engineering) Irrational number 0501 psychology and cognitive sciences Noise (video) 030217 neurology & neurosurgery Valuation (finance) |
Zdroj: | Curr Opin Behav Sci |
ISSN: | 2352-1546 |
Popis: | A variety of behavioral and neural phenomena suggest that organisms evaluate outcomes not on an absolute utility scale, but relative to some dynamic and context-sensitive reference or scale. Sometimes, as in foraging tasks, this results in sensible choices; in other situations, like choosing between options learned in different contexts, irrational choices can result. We argue that what unites and demystifies these various phenomena is that the brain's goal is not assessing utility as an end in itself, but rather comparing different options to choose the better one. In the presence of uncertainty, noise, or costly computation, adjusting options to the context can produce more accurate choices. |
Databáze: | OpenAIRE |
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