{"title":"Quantum Cognition.","authors":"Emmanuel M Pothos, Jerome R Busemeyer","doi":"10.1146/annurev-psych-033020-123501","DOIUrl":null,"url":null,"abstract":"<p><p>Uncertainty is an intrinsic part of life; most events, affairs, and questions are uncertain. A key problem in behavioral sciences is how the mind copes with uncertain information. Quantum probability theory offers a set of principles for inference, which align well with intuition about psychological processes in certain cases: cases when it appears that inference is contextual, the mental state changes as a result of previous judgments, or there is interference between different possibilities. We motivate the use of quantum theory in cognition and its key characteristics. For each of these characteristics, we review relevant quantum cognitive models and empirical support. The scope of quantum cognitive models encompasses fallacies in decision-making (such as the conjunction fallacy or the disjunction effect), question order effects, conceptual combination, evidence accumulation, perception, over-/underdistribution effects in memory, and more. Quantum models often formalize psychological ideas previously expressed in heuristic terms, allow unified explanations of previously disparate findings, and have led to several surprising, novel predictions. We also cast a critical eye on quantum models and consider some of their shortcomings and issues regarding their further development.</p>","PeriodicalId":8010,"journal":{"name":"Annual review of psychology","volume":null,"pages":null},"PeriodicalIF":23.6000,"publicationDate":"2022-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"27","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annual review of psychology","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1146/annurev-psych-033020-123501","RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/9/21 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"PSYCHOLOGY","Score":null,"Total":0}
引用次数: 27
Abstract
Uncertainty is an intrinsic part of life; most events, affairs, and questions are uncertain. A key problem in behavioral sciences is how the mind copes with uncertain information. Quantum probability theory offers a set of principles for inference, which align well with intuition about psychological processes in certain cases: cases when it appears that inference is contextual, the mental state changes as a result of previous judgments, or there is interference between different possibilities. We motivate the use of quantum theory in cognition and its key characteristics. For each of these characteristics, we review relevant quantum cognitive models and empirical support. The scope of quantum cognitive models encompasses fallacies in decision-making (such as the conjunction fallacy or the disjunction effect), question order effects, conceptual combination, evidence accumulation, perception, over-/underdistribution effects in memory, and more. Quantum models often formalize psychological ideas previously expressed in heuristic terms, allow unified explanations of previously disparate findings, and have led to several surprising, novel predictions. We also cast a critical eye on quantum models and consider some of their shortcomings and issues regarding their further development.
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.