{"title":"Normative Principles for Decision-Making in Natural Environments.","authors":"C. Summerfield, Paula Parpart","doi":"10.31234/OSF.IO/S2WVZ","DOIUrl":null,"url":null,"abstract":"The decisions we make are shaped by a lifetime of learning. Past experience guides the way that we encode information in neural systems for perception and valuation, and determines the information we retrieve when making decisions. Distinct literatures have discussed how lifelong learning and local context shape decisions made about sensory signals, propositional information, or economic prospects. Here, we build bridges between these literatures, arguing for common principles of adaptive rationality in perception, cognition, and economic choice. We discuss how a single common framework, based on normative principles of efficient coding and Bayesian inference, can help us understand a myriad of human decision biases, including sensory illusions, adaptive aftereffects, choice history biases, central tendency effects, anchoring effects, contrast effects, framing effects, congruency effects, reference-dependent valuation, nonlinear utility functions, and discretization heuristics. We describe a simple computational framework for explaining these phenomena. Expected final online publication date for the Annual Review of Psychology, Volume 73 is January 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.","PeriodicalId":8010,"journal":{"name":"Annual review of psychology","volume":" ","pages":""},"PeriodicalIF":23.6000,"publicationDate":"2021-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annual review of psychology","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.31234/OSF.IO/S2WVZ","RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY","Score":null,"Total":0}
引用次数: 6
Abstract
The decisions we make are shaped by a lifetime of learning. Past experience guides the way that we encode information in neural systems for perception and valuation, and determines the information we retrieve when making decisions. Distinct literatures have discussed how lifelong learning and local context shape decisions made about sensory signals, propositional information, or economic prospects. Here, we build bridges between these literatures, arguing for common principles of adaptive rationality in perception, cognition, and economic choice. We discuss how a single common framework, based on normative principles of efficient coding and Bayesian inference, can help us understand a myriad of human decision biases, including sensory illusions, adaptive aftereffects, choice history biases, central tendency effects, anchoring effects, contrast effects, framing effects, congruency effects, reference-dependent valuation, nonlinear utility functions, and discretization heuristics. We describe a simple computational framework for explaining these phenomena. Expected final online publication date for the Annual Review of Psychology, Volume 73 is January 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
期刊介绍:
The Annual Review of Psychology, a publication that has been available since 1950, provides comprehensive coverage of the latest advancements in psychological research. It encompasses a wide range of topics, including the biological underpinnings of human behavior, the intricacies of our senses and perception, the functioning of the mind, animal behavior and learning, human development, psychopathology, clinical and counseling psychology, social psychology, personality, environmental psychology, community psychology, and much more. In a recent development, the current volume of this esteemed journal has transitioned from a subscription-based model to an open access format as part of the Annual Reviews' Subscribe to Open initiative. As a result, all articles published in this volume are now freely accessible to the public under a Creative Commons Attribution (CC BY) license.