{"id":"https://openalex.org/W2570022719","doi":"https://doi.org/10.1109/cdc.2016.7799449","title":"Information acquisition and sequential belief refinement","display_name":"Information acquisition and sequential belief refinement","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2570022719","doi":"https://doi.org/10.1109/cdc.2016.7799449","mag":"2570022719"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2016.7799449","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2016.7799449","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 55th Conference on Decision and Control (CDC)","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/A5059310658","display_name":"Tara Javidi","orcid":"https://orcid.org/0000-0001-7112-1043"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tara Javidi","raw_affiliation_strings":["Electrical & Computer Engineering, University of California, San Diego"],"affiliations":[{"raw_affiliation_string":"Electrical & Computer Engineering, University of California, San Diego","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5059310658"],"corresponding_institution_ids":["https://openalex.org/I36258959"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.09614809,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"ii","issue":null,"first_page":"7635","last_page":"7654"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9767000079154968,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9767000079154968,"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/T11182","display_name":"Auction Theory and Applications","score":0.9739999771118164,"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"}},{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9477999806404114,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6824058890342712},{"id":"https://openalex.org/keywords/decision-maker","display_name":"Decision maker","score":0.6647571325302124},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6605141758918762},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6556805968284607},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.6320772171020508},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.6197153925895691},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.6083443760871887},{"id":"https://openalex.org/keywords/partially-observable-markov-decision-process","display_name":"Partially observable Markov decision process","score":0.591014564037323},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.521812915802002},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.5118207335472107},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.45797228813171387},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.4461572468280792},{"id":"https://openalex.org/keywords/decision-theory","display_name":"Decision theory","score":0.43805521726608276},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41346514225006104},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.37230396270751953},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3577796220779419},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33995044231414795},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24691301584243774},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.21109554171562195},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.15015912055969238},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08519056439399719}],"concepts":[{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6824058890342712},{"id":"https://openalex.org/C2986080485","wikidata":"https://www.wikidata.org/wiki/Q1331926","display_name":"Decision maker","level":2,"score":0.6647571325302124},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6605141758918762},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6556805968284607},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.6320772171020508},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.6197153925895691},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.6083443760871887},{"id":"https://openalex.org/C17098449","wikidata":"https://www.wikidata.org/wiki/Q176814","display_name":"Partially observable Markov decision process","level":4,"score":0.591014564037323},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.521812915802002},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5118207335472107},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.45797228813171387},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.4461572468280792},{"id":"https://openalex.org/C28901747","wikidata":"https://www.wikidata.org/wiki/Q177571","display_name":"Decision theory","level":2,"score":0.43805521726608276},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41346514225006104},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.37230396270751953},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3577796220779419},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33995044231414795},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24691301584243774},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.21109554171562195},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.15015912055969238},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08519056439399719},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc.2016.7799449","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2016.7799449","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE 55th Conference on Decision and Control (CDC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W250428221","https://openalex.org/W1505771370","https://openalex.org/W1529558080","https://openalex.org/W1845961848","https://openalex.org/W1897421292","https://openalex.org/W1965313644","https://openalex.org/W1978831578","https://openalex.org/W1986319401","https://openalex.org/W1989008275","https://openalex.org/W1990503235","https://openalex.org/W1992720861","https://openalex.org/W1996396329","https://openalex.org/W2000015806","https://openalex.org/W2006258746","https://openalex.org/W2006681603","https://openalex.org/W2011914761","https://openalex.org/W2012037220","https://openalex.org/W2012548282","https://openalex.org/W2020764470","https://openalex.org/W2025330016","https://openalex.org/W2039110673","https://openalex.org/W2040877654","https://openalex.org/W2045030310","https://openalex.org/W2046775483","https://openalex.org/W2050495532","https://openalex.org/W2051192553","https://openalex.org/W2068033507","https://openalex.org/W2070134780","https://openalex.org/W2071370395","https://openalex.org/W2076580309","https://openalex.org/W2079120178","https://openalex.org/W2087273767","https://openalex.org/W2093248767","https://openalex.org/W2094601947","https://openalex.org/W2098432798","https://openalex.org/W2098740202","https://openalex.org/W2127140374","https://openalex.org/W2133966244","https://openalex.org/W2135496842","https://openalex.org/W2142901448","https://openalex.org/W2146950091","https://openalex.org/W2149685491","https://openalex.org/W2151370270","https://openalex.org/W2159608213","https://openalex.org/W2162614205","https://openalex.org/W2164684058","https://openalex.org/W2167679541","https://openalex.org/W2170341113","https://openalex.org/W2478708596","https://openalex.org/W2792376680","https://openalex.org/W2904485375","https://openalex.org/W2911599777","https://openalex.org/W2950412277","https://openalex.org/W2952795881","https://openalex.org/W2963411167","https://openalex.org/W3099581246","https://openalex.org/W3103934323","https://openalex.org/W4232896127","https://openalex.org/W4239835841","https://openalex.org/W4240346872","https://openalex.org/W4244399590","https://openalex.org/W4249539637","https://openalex.org/W6638633812","https://openalex.org/W6661504925","https://openalex.org/W7025045700"],"related_works":["https://openalex.org/W2096013579","https://openalex.org/W52153049","https://openalex.org/W1760611253","https://openalex.org/W1589140671","https://openalex.org/W1515117609","https://openalex.org/W4323315247","https://openalex.org/W2294884454","https://openalex.org/W3169161914","https://openalex.org/W4321379664","https://openalex.org/W2211790881"],"abstract_inverted_index":{"Information":[0],"acquisition":[1,97],"and":[2,67,87],"utilization":[3],"problems":[4,12],"(IAUP)":[5],"form":[6],"a":[7,15,22,88,106],"class":[8],"of":[9,31,39,44,62,79,83,91],"stochastic":[10],"decision":[11,16,52,55],"in":[13,42],"which":[14],"maker":[17],"is":[18,46,98],"faced":[19],"with":[20,64],"utilizing":[21],"stochastically":[23,76],"varying":[24,77],"(and":[25],"uncontrollable)":[26],"environment.":[27],"However,":[28],"the":[29,32,36,40,51,60,72,75],"state":[30],"environment,":[33],"due":[34],"to":[35,50],"limited":[37],"nature":[38],"measurements":[41],"terms":[43],"dimension/cost/accuracy,":[45],"only":[47],"partially":[48,92],"known":[49],"maker.":[53],"The":[54],"maker,":[56],"by":[57],"carefully":[58],"controlling":[59],"sequence":[61],"actions":[63],"uncertain":[65],"outcomes":[66],"noisy":[68],"measurements,":[69],"dynamically":[70],"refines":[71],"belief":[73],"about":[74],"parameters":[78],"interest.":[80],"A":[81],"generalization":[82],"hidden":[84],"Markov":[85,94],"models":[86],"special":[89],"case":[90],"observable":[93],"models,":[95],"information":[96],"both":[99],"an":[100],"informational":[101],"problem":[102],"as":[103,105],"well":[104],"control":[107],"one.":[108]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
