{"title":"Cognitive Modeling Using Artificial Intelligence.","authors":"Michael C Frank, Noah D Goodman","doi":"10.1146/annurev-psych-030625-040748","DOIUrl":null,"url":null,"abstract":"<p><p>Recent progress in artificial intelligence (AI) is exciting, but can AI models tell us about the human mind? AI models have a long history of being used as theoretical artifacts in cognitive science, but one key difference in the current generation of models is that they are stimulus computable, meaning that they can operate over stimuli that are similar to those experienced by people. This advance creates important opportunities for deepening our understanding of the human mind. We argue here that the most exciting of these is the use of AI models as cognitive models, wherein they are trained using human-scale input data and evaluated using careful experimental probes. Such cognitive models constitute a substantial advance that can inform theories of human intelligence by helping to explain and predict behavior.</p>","PeriodicalId":8010,"journal":{"name":"Annual review of psychology","volume":" ","pages":""},"PeriodicalIF":29.4000,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annual review of psychology","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1146/annurev-psych-030625-040748","RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY","Score":null,"Total":0}
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Abstract
Recent progress in artificial intelligence (AI) is exciting, but can AI models tell us about the human mind? AI models have a long history of being used as theoretical artifacts in cognitive science, but one key difference in the current generation of models is that they are stimulus computable, meaning that they can operate over stimuli that are similar to those experienced by people. This advance creates important opportunities for deepening our understanding of the human mind. We argue here that the most exciting of these is the use of AI models as cognitive models, wherein they are trained using human-scale input data and evaluated using careful experimental probes. Such cognitive models constitute a substantial advance that can inform theories of human intelligence by helping to explain and predict behavior.
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.
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