{"id":"https://openalex.org/W4415367702","doi":"https://doi.org/10.1109/isit63088.2025.11195441","title":"Probing-Based Sequential Decision Making Under Cognitive Limitations","display_name":"Probing-Based Sequential Decision Making Under Cognitive Limitations","publication_year":2025,"publication_date":"2025-06-22","ids":{"openalex":"https://openalex.org/W4415367702","doi":"https://doi.org/10.1109/isit63088.2025.11195441"},"language":null,"primary_location":{"id":"doi:10.1109/isit63088.2025.11195441","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit63088.2025.11195441","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Information Theory (ISIT)","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/A5120072416","display_name":"Kumar Subodh","orcid":null},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Kumar Subodh","raw_affiliation_strings":["IIT Kharagpur,India"],"affiliations":[{"raw_affiliation_string":"IIT Kharagpur,India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101311790","display_name":"Priyanshu Gautam","orcid":null},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Priyanshu Gautam","raw_affiliation_strings":["IIT Kharagpur,India"],"affiliations":[{"raw_affiliation_string":"IIT Kharagpur,India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036182658","display_name":"Amitalok J. Budkuley","orcid":"https://orcid.org/0000-0001-6658-2996"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Amitalok J. Budkuley","raw_affiliation_strings":["IIT Kharagpur,India"],"affiliations":[{"raw_affiliation_string":"IIT Kharagpur,India","institution_ids":["https://openalex.org/I145894827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5120072416"],"corresponding_institution_ids":["https://openalex.org/I145894827"],"apc_list":null,"apc_paid":null,"fwci":2.8331,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.92797729,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.8046000003814697,"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"}},"topics":[{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.8046000003814697,"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/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.724399983882904,"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/T10050","display_name":"Multi-Criteria Decision Making","score":0.7031000256538391,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"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/sequential-probability-ratio-test","display_name":"Sequential probability ratio test","score":0.6833000183105469},{"id":"https://openalex.org/keywords/sequential-analysis","display_name":"Sequential analysis","score":0.6248000264167786},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.6209999918937683},{"id":"https://openalex.org/keywords/optimal-stopping","display_name":"Optimal stopping","score":0.5666000247001648},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4999000132083893},{"id":"https://openalex.org/keywords/sequential-estimation","display_name":"Sequential estimation","score":0.47049999237060547},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4397999942302704},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.43939998745918274},{"id":"https://openalex.org/keywords/optimal-decision","display_name":"Optimal decision","score":0.3880999982357025}],"concepts":[{"id":"https://openalex.org/C34602496","wikidata":"https://www.wikidata.org/wiki/Q2271882","display_name":"Sequential probability ratio test","level":2,"score":0.6833000183105469},{"id":"https://openalex.org/C80478641","wikidata":"https://www.wikidata.org/wiki/Q195771","display_name":"Sequential analysis","level":2,"score":0.6248000264167786},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.6209999918937683},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5978999733924866},{"id":"https://openalex.org/C99414536","wikidata":"https://www.wikidata.org/wiki/Q7098950","display_name":"Optimal stopping","level":2,"score":0.5666000247001648},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4999000132083893},{"id":"https://openalex.org/C86426650","wikidata":"https://www.wikidata.org/wiki/Q7452504","display_name":"Sequential estimation","level":2,"score":0.47049999237060547},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4397999942302704},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.43939998745918274},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43230000138282776},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4047999978065491},{"id":"https://openalex.org/C150325174","wikidata":"https://www.wikidata.org/wiki/Q4335500","display_name":"Optimal decision","level":3,"score":0.3880999982357025},{"id":"https://openalex.org/C2984391234","wikidata":"https://www.wikidata.org/wiki/Q195771","display_name":"Sequential sampling","level":3,"score":0.3776000142097473},{"id":"https://openalex.org/C28901747","wikidata":"https://www.wikidata.org/wiki/Q177571","display_name":"Decision theory","level":2,"score":0.3695000112056732},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.357699990272522},{"id":"https://openalex.org/C99888217","wikidata":"https://www.wikidata.org/wiki/Q1288707","display_name":"Stopping time","level":2,"score":0.35109999775886536},{"id":"https://openalex.org/C5465570","wikidata":"https://www.wikidata.org/wiki/Q5326898","display_name":"Early stopping","level":3,"score":0.3508000075817108},{"id":"https://openalex.org/C2986080485","wikidata":"https://www.wikidata.org/wiki/Q1331926","display_name":"Decision maker","level":2,"score":0.3319000005722046},{"id":"https://openalex.org/C2986342778","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Cognitive systems","level":3,"score":0.3107999861240387},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.3084999918937683},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.30489999055862427},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3046000003814697},{"id":"https://openalex.org/C115988155","wikidata":"https://www.wikidata.org/wiki/Q3262192","display_name":"Decision problem","level":2,"score":0.2782000005245209},{"id":"https://openalex.org/C2779664074","wikidata":"https://www.wikidata.org/wiki/Q3518405","display_name":"Terminal (telecommunication)","level":2,"score":0.2775999903678894},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.2558000087738037},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.25360000133514404},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.2526000142097473},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.25119999051094055}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit63088.2025.11195441","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit63088.2025.11195441","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1988520084","https://openalex.org/W1990503235","https://openalex.org/W2136414026","https://openalex.org/W2142948459","https://openalex.org/W2170341113","https://openalex.org/W2601269525","https://openalex.org/W2605263682","https://openalex.org/W2889217859","https://openalex.org/W2903962827","https://openalex.org/W2963261514","https://openalex.org/W2966214793","https://openalex.org/W3038330569","https://openalex.org/W3197689346","https://openalex.org/W4230704549","https://openalex.org/W4247848308","https://openalex.org/W4401692186","https://openalex.org/W4401693600","https://openalex.org/W4415367702"],"related_works":[],"abstract_inverted_index":{"We":[0,141,158,223],"study":[1,163],"a":[2,12,15,20,27,55,91,100,103,108,125,148,155,161],"variant":[3],"of":[4,48,119,138,164,178,180,193],"the":[5,36,49,63,66,74,86,122,144,169,173,176,186,202,219,230],"active":[6,194],"sequential":[7,156,203],"hypothesis":[8,39],"problem":[9,146,153],"(SHT)":[10],"with":[11],"decision-maker":[13,56,82,123],"having":[14],"source":[16,29,105],"probing":[17,231],"capability,":[18],"and":[19,40,89,183,185,216,233],"cognitive":[21,59,67],"impairment":[22,68],"in":[23,61,93,154],"data":[24,28,32,51,87],"processing.":[25],"Here":[26],"outputs":[30],"memoryless":[31],"samples,":[33],"conditioned":[34],"on":[35],"instantiated":[37],"(binary)":[38],"his":[41],"current":[42],"state.":[43],"A":[44],"potentially":[45],"noisy":[46],"version":[47],"generated":[50,64],"is":[52,208],"observed":[53],"by":[54,73],"that":[57,132,201],"has":[58,124],"limitations":[60],"processing":[62],"data;":[65],"can,":[69],"however,":[70],"be":[71],"managed":[72],"decision-maker,":[75],"albemt":[76],"under":[77],"some":[78],"overall":[79],"constraint.":[80],"The":[81],"can":[83],"also":[84,224],"probe":[85],"source,":[88],"induce":[90],"change":[92],"its":[94,117,134],"state":[95,139,232],"so":[96],"as":[97,147],"to":[98,112,116,129],"generate":[99],"sample":[101],"from":[102,107],"favorable":[104],"distribution":[106],"collection":[109],"known":[110],"a-priori":[111],"all.":[113],"However,":[114],"similar":[115],"choice":[118,137,228],"cognition":[120,234],"level,":[121],"probing-constraint":[126],"(possibly":[127],"due":[128],"practical":[130],"limitations)":[131],"limits":[133],"long":[135],"term":[136],"selections.":[140],"first":[142],"formalize":[143],"above":[145],"constrained":[149],"optimal":[150,166,210,220,227],"stopping":[151,174,221],"time":[152],"environment.":[157],"then":[159,217],"present":[160,225],"systematic":[162],"an":[165,209,226],"strategy":[167],"for":[168,213,229],"decision":[170,188],"maker":[171],"comprising":[172],"time,":[175],"pair":[177],"sequences":[179],"probing-state":[181],"selection":[182],"cognition-levels,":[184],"terminal":[187],"rule.":[189],"Using":[190],"classical":[191],"techniques":[192],"SHT":[195],"(involving":[196],"dynamic":[197],"programming),":[198],"we":[199],"show":[200],"probability":[204],"ratio":[205],"test":[206],"(SPRT)":[207],"testing":[211],"procedure":[212],"this":[214],"problem,":[215],"characterize":[218],"time.":[222],"sequences.":[235]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-21T00:00:00"}