{"id":"https://openalex.org/W2404673495","doi":"https://doi.org/10.1007/978-3-662-48995-6_30","title":"Inverse Game Theory: Learning Utilities in\u00a0Succinct Games","display_name":"Inverse Game Theory: Learning Utilities in\u00a0Succinct Games","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2404673495","doi":"https://doi.org/10.1007/978-3-662-48995-6_30","mag":"2404673495"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-662-48995-6_30","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-662-48995-6_30","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/978-3-662-48995-6_30","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021338648","display_name":"Volodymyr Kuleshov","orcid":"https://orcid.org/0000-0002-5150-3308"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Volodymyr Kuleshov","raw_affiliation_strings":["Stanford University, Stanford, CA, 94305, USA"],"affiliations":[{"raw_affiliation_string":"Stanford University, Stanford, CA, 94305, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046785442","display_name":"Okke Schrijvers","orcid":null},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Okke Schrijvers","raw_affiliation_strings":["Stanford University, Stanford, CA, 94305, USA"],"affiliations":[{"raw_affiliation_string":"Stanford University, Stanford, CA, 94305, USA","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5021338648"],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":{"value":5000,"currency":"EUR","value_usd":5392},"fwci":7.8506,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.97927823,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"413","last_page":"427"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11031","display_name":"Game Theory and Applications","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T11031","display_name":"Game Theory and Applications","score":0.9997000098228455,"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/T11182","display_name":"Auction Theory and Applications","score":0.9958999752998352,"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/T12137","display_name":"Economic theories and models","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8108829259872437},{"id":"https://openalex.org/keywords/combinatorial-game-theory","display_name":"Combinatorial game theory","score":0.5536283254623413},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.5523116588592529},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46800389885902405},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.4490453004837036},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.38852083683013916},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3816101849079132},{"id":"https://openalex.org/keywords/sequential-game","display_name":"Sequential game","score":0.34541743993759155},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11082041263580322}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8108829259872437},{"id":"https://openalex.org/C102234262","wikidata":"https://www.wikidata.org/wiki/Q1320931","display_name":"Combinatorial game theory","level":4,"score":0.5536283254623413},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.5523116588592529},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46800389885902405},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.4490453004837036},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.38852083683013916},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3816101849079132},{"id":"https://openalex.org/C73795354","wikidata":"https://www.wikidata.org/wiki/Q287618","display_name":"Sequential game","level":3,"score":0.34541743993759155},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11082041263580322},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-662-48995-6_30","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-662-48995-6_30","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-662-48995-6_30","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-662-48995-6_30","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W85889939","https://openalex.org/W1533265907","https://openalex.org/W1556691990","https://openalex.org/W1588591676","https://openalex.org/W1753330597","https://openalex.org/W1997147068","https://openalex.org/W1999874108","https://openalex.org/W2004394537","https://openalex.org/W2054129049","https://openalex.org/W2057913812","https://openalex.org/W2060341614","https://openalex.org/W2061562262","https://openalex.org/W2069898476","https://openalex.org/W2072459156","https://openalex.org/W2073242866","https://openalex.org/W2095094403","https://openalex.org/W2102969037","https://openalex.org/W2115450697","https://openalex.org/W2118944179","https://openalex.org/W2126776273","https://openalex.org/W2132339352","https://openalex.org/W2140790422","https://openalex.org/W2160135758","https://openalex.org/W2168238812","https://openalex.org/W2328848660","https://openalex.org/W2911796152","https://openalex.org/W4234913304"],"related_works":["https://openalex.org/W2071306797","https://openalex.org/W3125663232","https://openalex.org/W2035985377","https://openalex.org/W2119845623","https://openalex.org/W4242695085","https://openalex.org/W1557018980","https://openalex.org/W2414265698","https://openalex.org/W57172406","https://openalex.org/W1536703170","https://openalex.org/W3124955087"],"abstract_inverted_index":{"One":[0],"of":[1,13,21,56],"the":[2,11,19,25,47,96],"central":[3],"questions":[4],"in":[5,41,45,60,77,103],"game":[6],"theory":[7],"deals":[8],"with":[9,83],"predicting":[10],"behavior":[12],"an":[14,115],"agent.":[15],"Here,":[16],"we":[17,71],"study":[18],"inverse":[20],"this":[22,35,39],"problem:":[23],"given":[24,85],"agents\u2019":[26],"equilibrium":[27,116],"behavior,":[28],"what":[29],"are":[30],"possible":[31],"utilities":[32,48,81,91],"that":[33,113],"motivate":[34],"behavior?":[36],"We":[37],"consider":[38],"problem":[40],"arbitrary":[42],"normal-form":[43],"games":[44],"which":[46],"can":[49,129],"be":[50],"represented":[51],"by":[52],"a":[53,84,99,107,124,127],"small":[54],"number":[55],"parameters,":[57],"such":[58,69],"as":[59],"graphical,":[61],"congestion,":[62],"and":[63,92],"network":[64],"design":[65],"games.":[66],"In":[67],"all":[68],"settings,":[70],"show":[72,112],"how":[73],"to":[74,133],"efficiently,":[75],"i.e.":[76],"polynomial":[78],"time,":[79],"determine":[80],"consistent":[82],"correlated":[86],"equilibrium.":[87],"However,":[88],"inferring":[89],"both":[90],"structural":[93],"elements":[94],"(e.g.,":[95],"graph":[97],"within":[98],"graphical":[100],"game)":[101],"is":[102,117],"general":[104],"NP-hard.":[105],"From":[106],"theoretical":[108],"perspective":[109,126],"our":[110,131],"results":[111],"rationalizing":[114],"computationally":[118],"easier":[119],"than":[120],"computing":[121],"it;":[122],"from":[123],"practical":[125],"practitioner":[128],"use":[130],"algorithms":[132],"validate":[134],"behavioral":[135],"models.":[136]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
