Ionatan Kuperwajs, Evan M Russek, Marcelo G Mattar, Wei Ji Ma, Thomas L Griffiths
{"title":"Looking deeper into the algorithms underlying human planning.","authors":"Ionatan Kuperwajs, Evan M Russek, Marcelo G Mattar, Wei Ji Ma, Thomas L Griffiths","doi":"10.1016/j.tics.2025.06.006","DOIUrl":null,"url":null,"abstract":"<p><p>Humans possess a remarkable ability to form sophisticated multi-step plans even in complex environments. In this review article, we consider efforts that attempt to characterize the mechanisms underlying human planning using a computational framework, primarily focusing on methods that search a tree of possible solutions. These studies range from experimental probes for heuristics that people employ while thinking ahead to normative models for reducing the computational costs of planning. Additionally, we examine the recent successes of artificial intelligence in the domain of planning and how these innovations can be applied to better understand human sequential decision-making. As examples, we highlight this approach in two tasks that require planning many steps into the future, namely 4-in-a-row and chess.</p>","PeriodicalId":49417,"journal":{"name":"Trends in Cognitive Sciences","volume":" ","pages":""},"PeriodicalIF":16.7000,"publicationDate":"2025-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Trends in Cognitive Sciences","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1016/j.tics.2025.06.006","RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BEHAVIORAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Humans possess a remarkable ability to form sophisticated multi-step plans even in complex environments. In this review article, we consider efforts that attempt to characterize the mechanisms underlying human planning using a computational framework, primarily focusing on methods that search a tree of possible solutions. These studies range from experimental probes for heuristics that people employ while thinking ahead to normative models for reducing the computational costs of planning. Additionally, we examine the recent successes of artificial intelligence in the domain of planning and how these innovations can be applied to better understand human sequential decision-making. As examples, we highlight this approach in two tasks that require planning many steps into the future, namely 4-in-a-row and chess.
期刊介绍:
Essential reading for those working directly in the cognitive sciences or in related specialist areas, Trends in Cognitive Sciences provides an instant overview of current thinking for scientists, students and teachers who want to keep up with the latest developments in the cognitive sciences. The journal brings together research in psychology, artificial intelligence, linguistics, philosophy, computer science and neuroscience. Trends in Cognitive Sciences provides a platform for the interaction of these disciplines and the evolution of cognitive science as an independent field of study.