{"id":"https://openalex.org/W3163156233","doi":"https://doi.org/10.1109/icassp39728.2021.9413745","title":"Cognitive Memory Constrained Human Decision Making based on Multi-source Information","display_name":"Cognitive Memory Constrained Human Decision Making based on Multi-source Information","publication_year":2021,"publication_date":"2021-05-13","ids":{"openalex":"https://openalex.org/W3163156233","doi":"https://doi.org/10.1109/icassp39728.2021.9413745","mag":"3163156233"},"language":"en","primary_location":{"id":"doi:10.1109/icassp39728.2021.9413745","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9413745","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065090118","display_name":"Baocheng Geng","orcid":"https://orcid.org/0000-0002-9596-0359"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Baocheng Geng","raw_affiliation_strings":["Syracuse University,Department of Electrical Engineering and Computer Science,Syracuse,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Syracuse University,Department of Electrical Engineering and Computer Science,Syracuse,USA","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054706715","display_name":"Quan Chen","orcid":"https://orcid.org/0000-0002-3543-2458"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Quan Chen","raw_affiliation_strings":["Syracuse University,Department of Electrical Engineering and Computer Science,Syracuse,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Syracuse University,Department of Electrical Engineering and Computer Science,Syracuse,USA","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018292481","display_name":"Pramod K. Varshney","orcid":"https://orcid.org/0000-0003-4504-5088"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pramod. K. Varshney","raw_affiliation_strings":["Syracuse University,Department of Electrical Engineering and Computer Science,Syracuse,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Syracuse University,Department of Electrical Engineering and Computer Science,Syracuse,USA","institution_ids":["https://openalex.org/I70983195"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8017,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.73858595,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"5325","last_page":"5329"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9815999865531921,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9815999865531921,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9509000182151794,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12607","display_name":"Personal Information Management and User Behavior","score":0.9036999940872192,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7976265549659729},{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.6228431463241577},{"id":"https://openalex.org/keywords/working-memory","display_name":"Working memory","score":0.6031842827796936},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.5980066061019897},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4625190496444702},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4472356140613556},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4268077611923218},{"id":"https://openalex.org/keywords/cognitive-systems","display_name":"Cognitive systems","score":0.41608375310897827},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.14470314979553223}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7976265549659729},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.6228431463241577},{"id":"https://openalex.org/C21963081","wikidata":"https://www.wikidata.org/wiki/Q11337567","display_name":"Working memory","level":3,"score":0.6031842827796936},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.5980066061019897},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4625190496444702},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4472356140613556},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4268077611923218},{"id":"https://openalex.org/C2986342778","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Cognitive systems","level":3,"score":0.41608375310897827},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.14470314979553223},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp39728.2021.9413745","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9413745","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.8299999833106995,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1525038591","https://openalex.org/W2024971725","https://openalex.org/W2025899035","https://openalex.org/W2066223255","https://openalex.org/W2104843877","https://openalex.org/W2398348385","https://openalex.org/W2891221160","https://openalex.org/W2971926231","https://openalex.org/W3003167536","https://openalex.org/W3003845606","https://openalex.org/W3014039168","https://openalex.org/W3021662968","https://openalex.org/W3124376925","https://openalex.org/W4232424139","https://openalex.org/W6729833995"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4224009465","https://openalex.org/W4286629047","https://openalex.org/W4306321456","https://openalex.org/W4285260836","https://openalex.org/W3046775127","https://openalex.org/W3170094116","https://openalex.org/W4205958290","https://openalex.org/W3209574120"],"abstract_inverted_index":{"Unlike":[0],"decision":[1,26],"making":[2,27],"systems":[3],"made":[4],"up":[5],"of":[6,34,50,60,103,118],"physical":[7],"sensors":[8],"where":[9],"the":[10,90,98,136],"system":[11],"parameters":[12],"are":[13,64,132],"known":[14,65],"a":[15,75,83,123],"priori":[16],"and":[17,30,47,70,95,107],"can":[18,121],"be":[19],"controlled":[20],"at":[21],"will,":[22],"human":[23,127],"behavior":[24],"in":[25,74,80],"is":[28,37],"complex":[29],"uncertain.":[31],"The":[32],"objective":[33],"this":[35],"work":[36],"to":[38,57,66,108,134],"study":[39],"how":[40],"humans":[41,63,99],"make":[42,128],"decisions":[43],"based":[44],"on":[45],"internal":[46],"external":[48],"sources":[49,120],"information":[51,104,119],"under":[52],"cognitive":[53,68,124],"memory":[54,125],"limitations.":[55],"Due":[56],"constrained":[58],"capacity":[59],"working":[61],"memory,":[62],"perform":[67],"tasks":[69],"update":[71,109],"their":[72,110],"beliefs":[73],"sequential":[76],"manner":[77],"rather":[78],"than":[79],"parallel.":[81],"In":[82],"Bayesian":[84],"hypothesis":[85],"testing":[86],"framework,":[87],"we":[88],"derive":[89],"metrics":[91],"for":[92,105],"performance":[93],"evaluation":[94],"comparison":[96],"when":[97],"use":[100],"different":[101],"ordering":[102],"processing":[106],"beliefs.":[111],"We":[112],"show":[113],"that":[114],"an":[115],"appropriate":[116],"order":[117],"help":[122],"limited":[126],"better":[129],"decisions.":[130],"Simulations":[131],"presented":[133],"corroborate":[135],"theoretical":[137],"results.":[138]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
