{"id":"https://openalex.org/W4225834984","doi":"https://doi.org/10.1371/journal.pcbi.1009633","title":"Subjective optimality in finite sequential decision-making","display_name":"Subjective optimality in finite sequential decision-making","publication_year":2021,"publication_date":"2021-12-16","ids":{"openalex":"https://openalex.org/W4225834984","doi":"https://doi.org/10.1371/journal.pcbi.1009633","pmid":"https://pubmed.ncbi.nlm.nih.gov/34914689"},"language":"en","primary_location":{"id":"doi:10.1371/journal.pcbi.1009633","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1009633","pdf_url":null,"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://doi.org/10.1371/journal.pcbi.1009633","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yeonju Sin","orcid":"https://orcid.org/0000-0003-2090-9900"},"institutions":[{"id":"https://openalex.org/I48566637","display_name":"Ulsan National Institute of Science and Technology","ror":"https://ror.org/017cjz748","country_code":"KR","type":"education","lineage":["https://openalex.org/I48566637"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yeonju Sin","raw_affiliation_strings":["Department of Biomedical Engineering, UNIST, Ulsan, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-2090-9900","affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, UNIST, Ulsan, South Korea","institution_ids":["https://openalex.org/I48566637"]}]},{"author_position":"middle","author":{"id":null,"display_name":"HeeYoung Seon","orcid":"https://orcid.org/0000-0001-8620-7835"},"institutions":[{"id":"https://openalex.org/I48566637","display_name":"Ulsan National Institute of Science and Technology","ror":"https://ror.org/017cjz748","country_code":"KR","type":"education","lineage":["https://openalex.org/I48566637"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"HeeYoung Seon","raw_affiliation_strings":["Department of Biomedical Engineering, UNIST, Ulsan, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-8620-7835","affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, UNIST, Ulsan, South Korea","institution_ids":["https://openalex.org/I48566637"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yun Kyoung Shin","orcid":null},"institutions":[{"id":"https://openalex.org/I40542001","display_name":"University of Ulsan","ror":"https://ror.org/02c2f8975","country_code":"KR","type":"education","lineage":["https://openalex.org/I40542001"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Yun Kyoung Shin","raw_affiliation_strings":["Department of General Education, University of Ulsan, Ulsan, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of General Education, University of Ulsan, Ulsan, South Korea","institution_ids":["https://openalex.org/I40542001"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Oh-Sang Kwon","orcid":"https://orcid.org/0000-0002-9866-8222"},"institutions":[{"id":"https://openalex.org/I48566637","display_name":"Ulsan National Institute of Science and Technology","ror":"https://ror.org/017cjz748","country_code":"KR","type":"education","lineage":["https://openalex.org/I48566637"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Oh-Sang Kwon","raw_affiliation_strings":["Department of Biomedical Engineering, UNIST, Ulsan, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-9866-8222","affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, UNIST, Ulsan, South Korea","institution_ids":["https://openalex.org/I48566637"]}]},{"author_position":"last","author":{"id":null,"display_name":"Dongil Chung","orcid":"https://orcid.org/0000-0003-1999-0326"},"institutions":[{"id":"https://openalex.org/I48566637","display_name":"Ulsan National Institute of Science and Technology","ror":"https://ror.org/017cjz748","country_code":"KR","type":"education","lineage":["https://openalex.org/I48566637"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Dongil Chung","raw_affiliation_strings":["Department of Biomedical Engineering, UNIST, Ulsan, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-1999-0326","affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, UNIST, Ulsan, South Korea","institution_ids":["https://openalex.org/I48566637"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I48566637"],"apc_list":{"value":2655,"currency":"USD","value_usd":2655},"apc_paid":{"value":2655,"currency":"USD","value_usd":2655},"fwci":0.357,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.5739942,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"17","issue":"12","first_page":"e1009633","last_page":"e1009633"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10042","display_name":"Neural and Behavioral Psychology Studies","score":0.5896000266075134,"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/T10042","display_name":"Neural and Behavioral Psychology Studies","score":0.5896000266075134,"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/T10315","display_name":"Decision-Making and Behavioral Economics","score":0.26190000772476196,"subfield":{"id":"https://openalex.org/subfields/1800","display_name":"General Decision Sciences"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10646","display_name":"Experimental Behavioral Economics Studies","score":0.020800000056624413,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/dynamic-programming","display_name":"Dynamic programming","score":0.5006999969482422},{"id":"https://openalex.org/keywords/stimulus","display_name":"Stimulus (psychology)","score":0.44909998774528503},{"id":"https://openalex.org/keywords/bellman-equation","display_name":"Bellman equation","score":0.44279998540878296},{"id":"https://openalex.org/keywords/dilation","display_name":"Dilation (metric space)","score":0.38769999146461487},{"id":"https://openalex.org/keywords/optimal-control","display_name":"Optimal control","score":0.3831999897956848},{"id":"https://openalex.org/keywords/valuation","display_name":"Valuation (finance)","score":0.3781999945640564},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.36090001463890076}],"concepts":[{"id":"https://openalex.org/C37404715","wikidata":"https://www.wikidata.org/wiki/Q380679","display_name":"Dynamic programming","level":2,"score":0.5006999969482422},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49799999594688416},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4553999900817871},{"id":"https://openalex.org/C2779918689","wikidata":"https://www.wikidata.org/wiki/Q3771842","display_name":"Stimulus (psychology)","level":2,"score":0.44909998774528503},{"id":"https://openalex.org/C14646407","wikidata":"https://www.wikidata.org/wiki/Q1430750","display_name":"Bellman equation","level":2,"score":0.44279998540878296},{"id":"https://openalex.org/C2780757906","wikidata":"https://www.wikidata.org/wiki/Q5276676","display_name":"Dilation (metric space)","level":2,"score":0.38769999146461487},{"id":"https://openalex.org/C91575142","wikidata":"https://www.wikidata.org/wiki/Q1971426","display_name":"Optimal control","level":2,"score":0.3831999897956848},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.382999986410141},{"id":"https://openalex.org/C186027771","wikidata":"https://www.wikidata.org/wiki/Q4008379","display_name":"Valuation (finance)","level":2,"score":0.3781999945640564},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.36090001463890076},{"id":"https://openalex.org/C162392398","wikidata":"https://www.wikidata.org/wiki/Q272404","display_name":"Finite set","level":2,"score":0.35280001163482666},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3463999927043915},{"id":"https://openalex.org/C150325174","wikidata":"https://www.wikidata.org/wiki/Q4335500","display_name":"Optimal decision","level":3,"score":0.3312000036239624},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.3203999996185303},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.30820000171661377},{"id":"https://openalex.org/C149288182","wikidata":"https://www.wikidata.org/wiki/Q7260673","display_name":"Pupillary response","level":3,"score":0.2906000018119812},{"id":"https://openalex.org/C28901747","wikidata":"https://www.wikidata.org/wiki/Q177571","display_name":"Decision theory","level":2,"score":0.28200000524520874},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2651999890804291},{"id":"https://openalex.org/C2986080485","wikidata":"https://www.wikidata.org/wiki/Q1331926","display_name":"Decision maker","level":2,"score":0.2508000135421753},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.2506999969482422}],"mesh":[{"descriptor_ui":"D000084542","descriptor_name":"Eye-Tracking Technology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000084542","descriptor_name":"Eye-Tracking Technology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000084542","descriptor_name":"Eye-Tracking Technology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000084542","descriptor_name":"Eye-Tracking Technology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003657","descriptor_name":"Decision Making","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D003657","descriptor_name":"Decision Making","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D003657","descriptor_name":"Decision Making","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D003657","descriptor_name":"Decision Making","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","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":"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":"D008960","descriptor_name":"Models, Psychological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008960","descriptor_name":"Models, Psychological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008960","descriptor_name":"Models, Psychological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008960","descriptor_name":"Models, Psychological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011601","descriptor_name":"Psychophysics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011601","descriptor_name":"Psychophysics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011601","descriptor_name":"Psychophysics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011601","descriptor_name":"Psychophysics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011680","descriptor_name":"Pupil","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D011680","descriptor_name":"Pupil","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D011680","descriptor_name":"Pupil","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D011680","descriptor_name":"Pupil","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1371/journal.pcbi.1009633","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1009633","pdf_url":null,"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:34914689","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34914689","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:doaj.org/article:9345d7496da9434d8b9c6009d66e1bc2","is_oa":true,"landing_page_url":"https://doaj.org/article/9345d7496da9434d8b9c6009d66e1bc2","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"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 17, Iss 12, p e1009633 (2021)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:8675647","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8675647","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Comput Biol","raw_type":"Text"},{"id":"pmh:oai:scholarworks.unist.ac.kr:201301/55325","is_oa":false,"landing_page_url":"https://scholarworks.unist.ac.kr/handle/201301/55325","pdf_url":null,"source":{"id":"https://openalex.org/S4306401118","display_name":"Scholarworks@UNIST (Ulsan National Institute of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I48566637","host_organization_name":"Ulsan National Institute of Science and Technology","host_organization_lineage":["https://openalex.org/I48566637"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"ARTICLE"}],"best_oa_location":{"id":"doi:10.1371/journal.pcbi.1009633","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1009633","pdf_url":null,"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":[],"awards":[{"id":"https://openalex.org/G4034553860","display_name":null,"funder_award_id":"NRF-2018R1A2B6008959","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G7507419479","display_name":null,"funder_award_id":"NRF-2018R1D1A1B07043582","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W1497599070","https://openalex.org/W1601100579","https://openalex.org/W1997870792","https://openalex.org/W2002280713","https://openalex.org/W2008497075","https://openalex.org/W2018546894","https://openalex.org/W2024839488","https://openalex.org/W2025541487","https://openalex.org/W2036099499","https://openalex.org/W2039909349","https://openalex.org/W2047157700","https://openalex.org/W2051096623","https://openalex.org/W2067596477","https://openalex.org/W2072888936","https://openalex.org/W2075565217","https://openalex.org/W2085842156","https://openalex.org/W2087615164","https://openalex.org/W2091087027","https://openalex.org/W2092813663","https://openalex.org/W2094104200","https://openalex.org/W2095437239","https://openalex.org/W2107687699","https://openalex.org/W2113616846","https://openalex.org/W2116433828","https://openalex.org/W2116459287","https://openalex.org/W2128366752","https://openalex.org/W2132578666","https://openalex.org/W2135894974","https://openalex.org/W2139863081","https://openalex.org/W2144214580","https://openalex.org/W2147505461","https://openalex.org/W2150025966","https://openalex.org/W2159922488","https://openalex.org/W2165751345","https://openalex.org/W2402470851","https://openalex.org/W2422878652","https://openalex.org/W2479411493","https://openalex.org/W2523458180","https://openalex.org/W2525444040","https://openalex.org/W2594002025","https://openalex.org/W2624837939","https://openalex.org/W2682885258","https://openalex.org/W2787887681","https://openalex.org/W2902806502","https://openalex.org/W2920000524","https://openalex.org/W2950690027","https://openalex.org/W2966742782","https://openalex.org/W2973146711","https://openalex.org/W3007057586","https://openalex.org/W3011865677","https://openalex.org/W3024532045","https://openalex.org/W3031576691","https://openalex.org/W3121969482","https://openalex.org/W4237591687","https://openalex.org/W4242815879","https://openalex.org/W4249127163","https://openalex.org/W6647641051","https://openalex.org/W6671960752","https://openalex.org/W6754991159"],"related_works":[],"abstract_inverted_index":{"Many":[0],"decisions":[1],"in":[2,139,146],"life":[3],"are":[4],"sequential":[5,41,141],"and":[6,43,71,78,93,133],"constrained":[7],"by":[8],"a":[9,33,36,58,108],"time":[10],"window.":[11],"Although":[12],"mathematically":[13],"derived":[14],"optimal":[15,28,148],"solutions":[16],"exist,":[17],"it":[18],"has":[19],"been":[20],"reported":[21],"that":[22,57,84,111],"humans":[23],"often":[24],"deviate":[25],"from":[26,69],"making":[27],"choices.":[29,50],"Here,":[30],"we":[31,55],"used":[32],"secretary":[34],"problem,":[35],"classic":[37],"example":[38],"of":[39,90],"finite":[40,140],"decision-making,":[42,142],"investigated":[44],"the":[45,73,88,100,119],"mechanisms":[46],"underlying":[47],"individuals'":[48,67,123],"suboptimal":[49],"Across":[51],"three":[52],"independent":[53],"experiments,":[54],"found":[56],"dynamic":[59],"programming":[60],"model":[61],"comprising":[62],"subjective":[63,115,137],"value":[64,106],"function":[65],"explains":[66],"deviations":[68],"optimality":[70],"predicts":[72],"choice":[74],"behaviors":[75],"under":[76],"fewer":[77],"more":[79],"opportunities.":[80],"We":[81],"further":[82],"identified":[83],"pupil":[85],"dilation":[86],"reflected":[87],"levels":[89],"decision":[91],"difficulty":[92],"subsequent":[94],"choices":[95],"to":[96,121],"accept":[97],"or":[98],"reject":[99],"stimulus":[101],"at":[102],"each":[103,113],"opportunity.":[104],"The":[105],"sensitivity,":[107],"model-based":[109,132],"estimate":[110],"characterizes":[112],"individual's":[114],"valuation,":[116],"correlated":[117],"with":[118],"extent":[120],"which":[122],"physiological":[124,134],"responses":[125],"tracked":[126],"stimuli":[127],"information.":[128],"Our":[129],"results":[130],"provide":[131],"evidence":[135],"for":[136],"valuation":[138],"rediscovering":[143],"human":[144],"suboptimality":[145],"subjectively":[147],"decision-making":[149],"processes.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2022-05-05T00:00:00"}