{"id":"https://openalex.org/W2993195810","doi":"https://doi.org/10.1109/icawst.2019.8923170","title":"Equilibrium Selective Role Coordination for Autonomous Driving","display_name":"Equilibrium Selective Role Coordination for Autonomous Driving","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2993195810","doi":"https://doi.org/10.1109/icawst.2019.8923170","mag":"2993195810"},"language":"en","primary_location":{"id":"doi:10.1109/icawst.2019.8923170","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icawst.2019.8923170","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST)","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/A5112415166","display_name":"Naoto Iwahashi","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Naoto Iwahashi","raw_affiliation_strings":["OPU AI Lab, Okayama, Japan"],"affiliations":[{"raw_affiliation_string":"OPU AI Lab, Okayama, Japan","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5112415166"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.15606701,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9977999925613403,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9977999925613403,"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/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.9922999739646912,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9850999712944031,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.6870101690292358},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6753367185592651},{"id":"https://openalex.org/keywords/action-selection","display_name":"Action selection","score":0.562034010887146},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5448865294456482},{"id":"https://openalex.org/keywords/equilibrium-point","display_name":"Equilibrium point","score":0.5390971899032593},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.5054600238800049},{"id":"https://openalex.org/keywords/autonomous-agent","display_name":"Autonomous agent","score":0.4974577724933624},{"id":"https://openalex.org/keywords/multi-agent-system","display_name":"Multi-agent system","score":0.4290817081928253},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4278357923030853},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.423037588596344},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4189274311065674},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.15835946798324585},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12069568037986755},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.0857757031917572}],"concepts":[{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.6870101690292358},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6753367185592651},{"id":"https://openalex.org/C166109690","wikidata":"https://www.wikidata.org/wiki/Q4677422","display_name":"Action selection","level":3,"score":0.562034010887146},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5448865294456482},{"id":"https://openalex.org/C94766913","wikidata":"https://www.wikidata.org/wiki/Q1530271","display_name":"Equilibrium point","level":3,"score":0.5390971899032593},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.5054600238800049},{"id":"https://openalex.org/C13687954","wikidata":"https://www.wikidata.org/wiki/Q4826847","display_name":"Autonomous agent","level":2,"score":0.4974577724933624},{"id":"https://openalex.org/C41550386","wikidata":"https://www.wikidata.org/wiki/Q529909","display_name":"Multi-agent system","level":2,"score":0.4290817081928253},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4278357923030853},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.423037588596344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4189274311065674},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.15835946798324585},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12069568037986755},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0857757031917572},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78045399","wikidata":"https://www.wikidata.org/wiki/Q11214","display_name":"Differential equation","level":2,"score":0.0},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icawst.2019.8923170","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icawst.2019.8923170","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1969787028","https://openalex.org/W2002012762","https://openalex.org/W2093410327","https://openalex.org/W2097545165","https://openalex.org/W2098432798","https://openalex.org/W2112468191","https://openalex.org/W2114765979","https://openalex.org/W2127808790","https://openalex.org/W2141538250","https://openalex.org/W2150671164","https://openalex.org/W2155696181","https://openalex.org/W2161082561","https://openalex.org/W2286601327","https://openalex.org/W2333393323","https://openalex.org/W2792919579","https://openalex.org/W2795911278","https://openalex.org/W2799244502","https://openalex.org/W2803332797","https://openalex.org/W2884393162","https://openalex.org/W2889923199","https://openalex.org/W2898457776","https://openalex.org/W2900410888","https://openalex.org/W2907920236","https://openalex.org/W2938389163","https://openalex.org/W2950397026","https://openalex.org/W2962940757","https://openalex.org/W2962963881","https://openalex.org/W2963906196","https://openalex.org/W2963946945","https://openalex.org/W2996745553","https://openalex.org/W3140720497","https://openalex.org/W4236142606","https://openalex.org/W4285719527","https://openalex.org/W4301357669","https://openalex.org/W6674995601","https://openalex.org/W6748203849","https://openalex.org/W6750106230","https://openalex.org/W6758507868"],"related_works":["https://openalex.org/W1963616906","https://openalex.org/W2002583921","https://openalex.org/W4299634769","https://openalex.org/W2161520603","https://openalex.org/W2612836981","https://openalex.org/W80568813","https://openalex.org/W2604958989","https://openalex.org/W1585954831","https://openalex.org/W2132189351","https://openalex.org/W2618716983"],"abstract_inverted_index":{"Role":[0,31],"coordination":[1,27],"is":[2,93],"crucial":[3],"in":[4,40,136],"multi-agent":[5,158],"collaboration":[6,9],"because":[7],"the":[8,13,45,56],"may":[10],"fail":[11],"if":[12],"roles":[14,46],"played":[15],"by":[16,51],"agents":[17,48,57,103],"are":[18,49],"inconsistent.":[19],"In":[20,43],"this":[21,86],"paper,":[22],"we":[23],"present":[24],"a":[25,153],"role":[26,112],"method,":[28],"Equilibrium":[29],"Selective":[30],"Coordination":[32],"(ESRC),":[33],"for":[34],"decentralized":[35,157],"continuous":[36],"mutual":[37,77,90],"action":[38,67],"control":[39],"autonomous":[41],"driving.":[42],"ESRC,":[44],"of":[47,76,82,122,156],"represented":[50],"game-theoretic":[52],"equilibrium":[53,100,107],"points":[54],"that":[55,127],"try":[58],"to":[59,69,85,98,117,144,151],"achieve.":[60],"ESRC":[61,147],"comprises":[62],"three":[63],"hierarchical":[64],"functions:":[65],"(1)":[66],"due":[68],"given":[70],"dynamics":[71],"and":[72,79,115,171],"constraints,":[73],"(2)":[74],"prediction":[75],"actions,":[78],"(3)":[80],"selection":[81],"roles.":[83],"Corresponding":[84],"functional":[87],"hierarchy,":[88],"three-layered":[89],"belief":[91],"hierarchy":[92],"adopted.":[94],"Each":[95],"agent":[96],"acts":[97],"achieve":[99],"with":[101],"other":[102],"while":[104],"selecting":[105],"an":[106,110],"point":[108],"as":[109,162],"appropriate":[111,133],"assignment":[113],"adaptively":[114],"online":[116],"reduce":[118],"risk.":[119],"The":[120],"results":[121],"simulation":[123],"experiments":[124],"conducted":[125],"demonstrate":[126],"our":[128],"proposed":[129],"method":[130],"could":[131],"produce":[132],"actions":[134],"even":[135],"complicated":[137],"situations":[138],"where":[139],"several":[140],"possible":[141],"collisions":[142],"needed":[143],"be":[145,149],"considered.":[146],"can":[148],"used":[150],"model":[152],"wide":[154],"range":[155],"based":[159],"phenomena,":[160],"such":[161],"human-robot":[163],"physical":[164],"interactions,":[165],"dialogues,":[166],"economic":[167],"activities,":[168],"artificial":[169],"muscles,":[170],"neural":[172],"information":[173],"dynamics.":[174]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
