{"id":"https://openalex.org/W1829908029","doi":"https://doi.org/10.1371/journal.pcbi.1004523","title":"Implicit Value Updating Explains Transitive Inference Performance: The Betasort Model","display_name":"Implicit Value Updating Explains Transitive Inference Performance: The Betasort Model","publication_year":2015,"publication_date":"2015-09-25","ids":{"openalex":"https://openalex.org/W1829908029","doi":"https://doi.org/10.1371/journal.pcbi.1004523","mag":"1829908029","pmid":"https://pubmed.ncbi.nlm.nih.gov/26407227"},"language":"en","primary_location":{"id":"doi:10.1371/journal.pcbi.1004523","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1004523","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1004523&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1004523&type=printable","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031578230","display_name":"Greg Jensen","orcid":"https://orcid.org/0000-0001-5050-4360"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Greg Jensen","raw_affiliation_strings":["Department of Neuroscience, Columbia University, New York, New York, United States of America; Department of Psychology, Columbia University, New York, New York, United States of America","Department of Psychology, Columbia University, New York, New York, United States of America","Department of Neuroscience, Columbia University, New York, New York, United States of America"],"affiliations":[{"raw_affiliation_string":"Department of Neuroscience, Columbia University, New York, New York, United States of America; Department of Psychology, Columbia University, New York, New York, United States of America","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"Department of Psychology, Columbia University, New York, New York, United States of America","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"Department of Neuroscience, Columbia University, New York, New York, United States of America","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101603399","display_name":"Fabi\u00e1n Mu\u00f1oz","orcid":"https://orcid.org/0000-0002-8739-1985"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fabian Mu\u00f1oz","raw_affiliation_strings":["Department of Neuroscience, Columbia University, New York, New York, United States of America"],"affiliations":[{"raw_affiliation_string":"Department of Neuroscience, Columbia University, New York, New York, United States of America","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045759802","display_name":"Yelda Alkan","orcid":null},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yelda Alkan","raw_affiliation_strings":["Department of Neuroscience, Columbia University, New York, New York, United States of America"],"affiliations":[{"raw_affiliation_string":"Department of Neuroscience, Columbia University, New York, New York, United States of America","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028797433","display_name":"Vincent P. Ferrera","orcid":"https://orcid.org/0000-0002-6599-7740"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vincent P. Ferrera","raw_affiliation_strings":["Department of Neuroscience, Columbia University, New York, New York, United States of America; Department of Psychiatry, Columbia University, New York, New York, United States of America","Department of Psychiatry, Columbia University, New York, New York, United States of America","Department of Neuroscience, Columbia University, New York, New York, United States of America"],"affiliations":[{"raw_affiliation_string":"Department of Neuroscience, Columbia University, New York, New York, United States of America; Department of Psychiatry, Columbia University, New York, New York, United States of America","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"Department of Psychiatry, Columbia University, New York, New York, United States of America","institution_ids":["https://openalex.org/I78577930"]},{"raw_affiliation_string":"Department of Neuroscience, Columbia University, New York, New York, United States of America","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014926806","display_name":"H. S. Terrace","orcid":"https://orcid.org/0000-0003-0795-0159"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Herbert S. Terrace","raw_affiliation_strings":["Department of Psychology, Columbia University, New York, New York, United States of America"],"affiliations":[{"raw_affiliation_string":"Department of Psychology, Columbia University, New York, New York, United States of America","institution_ids":["https://openalex.org/I78577930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5031578230"],"corresponding_institution_ids":["https://openalex.org/I78577930"],"apc_list":{"value":2655,"currency":"USD","value_usd":2655},"apc_paid":{"value":2655,"currency":"USD","value_usd":2655},"fwci":1.6539,"has_fulltext":true,"cited_by_count":43,"citation_normalized_percentile":{"value":0.82467258,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"11","issue":"9","first_page":"e1004523","last_page":"e1004523"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9861999750137329,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9861999750137329,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10042","display_name":"Neural and Behavioral Psychology Studies","score":0.9740999937057495,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10826","display_name":"Behavioral and Psychological Studies","score":0.9735999703407288,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.7132437825202942},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7048260569572449},{"id":"https://openalex.org/keywords/transitive-relation","display_name":"Transitive relation","score":0.6628625392913818},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6040999293327332},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5853574275970459},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5400986671447754},{"id":"https://openalex.org/keywords/associative-learning","display_name":"Associative learning","score":0.491898775100708},{"id":"https://openalex.org/keywords/stimulus","display_name":"Stimulus (psychology)","score":0.4819073975086212},{"id":"https://openalex.org/keywords/associative-property","display_name":"Associative property","score":0.42785143852233887},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.41262906789779663},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2156759798526764},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.20475292205810547},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.18470501899719238}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7132437825202942},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7048260569572449},{"id":"https://openalex.org/C191399111","wikidata":"https://www.wikidata.org/wiki/Q64861","display_name":"Transitive relation","level":2,"score":0.6628625392913818},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6040999293327332},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5853574275970459},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5400986671447754},{"id":"https://openalex.org/C2983526489","wikidata":"https://www.wikidata.org/wiki/Q133500","display_name":"Associative learning","level":2,"score":0.491898775100708},{"id":"https://openalex.org/C2779918689","wikidata":"https://www.wikidata.org/wiki/Q3771842","display_name":"Stimulus (psychology)","level":2,"score":0.4819073975086212},{"id":"https://openalex.org/C159423971","wikidata":"https://www.wikidata.org/wiki/Q177251","display_name":"Associative property","level":2,"score":0.42785143852233887},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.41262906789779663},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2156759798526764},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.20475292205810547},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.18470501899719238},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000818","descriptor_name":"Animals","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D007858","descriptor_name":"Learning","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D008253","descriptor_name":"Macaca mulatta","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008253","descriptor_name":"Macaca mulatta","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008253","descriptor_name":"Macaca mulatta","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008253","descriptor_name":"Macaca mulatta","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008959","descriptor_name":"Models, Neurological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012201","descriptor_name":"Reward","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012201","descriptor_name":"Reward","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012201","descriptor_name":"Reward","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012201","descriptor_name":"Reward","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":7,"locations":[{"id":"doi:10.1371/journal.pcbi.1004523","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1004523","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1004523&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},{"id":"pmid:26407227","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26407227","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLoS computational biology","raw_type":null},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.901.3036","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.901.3036","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"https://peerj.com/preprints/954.pdf","raw_type":"text"},{"id":"pmh:oai:RePEc:plo:pcbi00:1004523","is_oa":false,"landing_page_url":"https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1004523","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:8ac934abb3ae4b62bc89af239dcb9b0d","is_oa":true,"landing_page_url":"https://doaj.org/article/8ac934abb3ae4b62bc89af239dcb9b0d","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Computational Biology, Vol 11, Iss 9, p e1004523 (2015)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:3569554","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4583549","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"pmh:oai:figshare.com:article/1557711","is_oa":true,"landing_page_url":"https://figshare.com/articles/dataset/_Implicit_Value_Updating_Explains_Transitive_Inference_Performance_The_Betasort_Model_/1557711","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Dataset"}],"best_oa_location":{"id":"doi:10.1371/journal.pcbi.1004523","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1004523","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1004523&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6100000143051147}],"awards":[],"funders":[{"id":"https://openalex.org/F4320337346","display_name":"National Institute of Mental Health","ror":"https://ror.org/04xeg9z08"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1829908029.pdf"},"referenced_works_count":94,"referenced_works":["https://openalex.org/W32403112","https://openalex.org/W52153049","https://openalex.org/W65193931","https://openalex.org/W132264163","https://openalex.org/W617170969","https://openalex.org/W649453782","https://openalex.org/W1454880234","https://openalex.org/W1499085216","https://openalex.org/W1557517019","https://openalex.org/W1970378847","https://openalex.org/W1973355828","https://openalex.org/W1977114987","https://openalex.org/W1985593448","https://openalex.org/W1986338698","https://openalex.org/W1994016657","https://openalex.org/W1994461217","https://openalex.org/W2007314042","https://openalex.org/W2007414406","https://openalex.org/W2008523965","https://openalex.org/W2010139340","https://openalex.org/W2010529144","https://openalex.org/W2018027839","https://openalex.org/W2027600189","https://openalex.org/W2028892703","https://openalex.org/W2033067687","https://openalex.org/W2033978775","https://openalex.org/W2050411378","https://openalex.org/W2050586054","https://openalex.org/W2050636233","https://openalex.org/W2063109360","https://openalex.org/W2063922799","https://openalex.org/W2066345105","https://openalex.org/W2070062735","https://openalex.org/W2073913380","https://openalex.org/W2075669388","https://openalex.org/W2076742285","https://openalex.org/W2080376519","https://openalex.org/W2081030963","https://openalex.org/W2082164815","https://openalex.org/W2084095376","https://openalex.org/W2087849465","https://openalex.org/W2088247534","https://openalex.org/W2093642963","https://openalex.org/W2098256464","https://openalex.org/W2099292787","https://openalex.org/W2099420044","https://openalex.org/W2101786389","https://openalex.org/W2101960548","https://openalex.org/W2104243359","https://openalex.org/W2106451468","https://openalex.org/W2108668231","https://openalex.org/W2111535985","https://openalex.org/W2113705163","https://openalex.org/W2117726420","https://openalex.org/W2123429050","https://openalex.org/W2125200267","https://openalex.org/W2133993682","https://openalex.org/W2135681007","https://openalex.org/W2136582516","https://openalex.org/W2136748963","https://openalex.org/W2144320228","https://openalex.org/W2144517709","https://openalex.org/W2145339207","https://openalex.org/W2149565728","https://openalex.org/W2158420012","https://openalex.org/W2163805252","https://openalex.org/W2166735517","https://openalex.org/W2168024904","https://openalex.org/W2169323873","https://openalex.org/W2172245711","https://openalex.org/W2182557359","https://openalex.org/W2184339914","https://openalex.org/W2198609075","https://openalex.org/W2307321672","https://openalex.org/W2312609093","https://openalex.org/W2319178748","https://openalex.org/W2341171179","https://openalex.org/W2341283081","https://openalex.org/W2407441816","https://openalex.org/W2479411493","https://openalex.org/W2553816010","https://openalex.org/W2602598753","https://openalex.org/W2760506156","https://openalex.org/W2914656440","https://openalex.org/W2970754444","https://openalex.org/W3011120880","https://openalex.org/W3124247078","https://openalex.org/W3214989072","https://openalex.org/W4211177544","https://openalex.org/W4251206009","https://openalex.org/W4253007707","https://openalex.org/W6684620542","https://openalex.org/W6689723076","https://openalex.org/W6704298589"],"related_works":["https://openalex.org/W2002428855","https://openalex.org/W2566765511","https://openalex.org/W2024453282","https://openalex.org/W1969410407","https://openalex.org/W2101316619","https://openalex.org/W2429109793","https://openalex.org/W2136952238","https://openalex.org/W2769696024","https://openalex.org/W2082067862","https://openalex.org/W2158404522"],"abstract_inverted_index":{"Transitive":[0],"inference":[1,66],"(the":[2],"ability":[3],"to":[4,49,137,149,158,181],"infer":[5],"that":[6,11,105,165],"B":[7,12],">":[8,13,17],"D":[9],"given":[10],"C":[14,16],"and":[15,89,93,118,152],"D)":[18],"is":[19,72],"a":[20,80,178],"widespread":[21],"characteristic":[22],"of":[23,29,98,168],"serial":[24],"learning,":[25],"observed":[26],"in":[27,171],"dozens":[28],"species.":[30],"Despite":[31],"these":[32,51],"robust":[33],"behavioral":[34],"effects,":[35],"reinforcement":[36,169],"learning":[37,170],"models":[38],"reliant":[39],"on":[40],"reward":[41],"prediction":[42],"error":[43,129],"or":[44,109],"associative":[45],"strength":[46],"routinely":[47],"fail":[48],"perform":[50],"inferences.":[52],"We":[53],"propose":[54],"an":[55,126],"algorithm":[56],"called":[57],"betasort,":[58],"inspired":[59],"by":[60,74,177],"cognitive":[61],"processes,":[62],"which":[63],"performs":[64],"transitive":[65],"at":[67],"low":[68],"computational":[69,154],"cost.":[70],"This":[71],"accomplished":[73],"(1)":[75],"representing":[76],"stimulus":[77,100,106],"positions":[78],"along":[79],"unit":[81],"span":[82],"using":[83],"beta":[84],"distributions,":[85],"(2)":[86],"treating":[87],"positive":[88],"negative":[90],"feedback":[91],"asymmetrically,":[92],"(3)":[94],"updating":[95],"the":[96,119,166],"position":[97],"every":[99,102],"during":[101,141],"trial,":[103],"whether":[104],"was":[107,112],"visible":[108],"not.":[110],"Performance":[111],"compared":[113,148,157],"for":[114],"rhesus":[115],"macaques,":[116],"humans,":[117],"betasort":[120],"algorithm,":[121],"as":[122,124],"well":[123],"Q-learning,":[125],"established":[127],"reward-prediction":[128],"(RPE)":[130],"model.":[131],"Of":[132],"these,":[133],"only":[134],"Q-learning":[135],"failed":[136],"respond":[138],"above":[139],"chance":[140],"critical":[142],"test":[143],"trials.":[144],"Betasort's":[145],"success":[146],"(when":[147,156],"RPE":[150],"models)":[151],"its":[153],"efficiency":[155],"full":[159],"Markov":[160],"decision":[161],"process":[162],"implementations)":[163],"suggests":[164],"study":[167],"organisms":[172],"will":[173],"be":[174],"best":[175],"served":[176],"feature-driven":[179],"approach":[180],"comparing":[182],"formal":[183],"models.":[184]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}