{"id":"https://openalex.org/W2171471659","doi":"https://doi.org/10.1145/1543834.1543996","title":"To create neuro-controlled game opponent from UCT-created data","display_name":"To create neuro-controlled game opponent from UCT-created data","publication_year":2009,"publication_date":"2009-06-12","ids":{"openalex":"https://openalex.org/W2171471659","doi":"https://doi.org/10.1145/1543834.1543996","mag":"2171471659"},"language":"en","primary_location":{"id":"doi:10.1145/1543834.1543996","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1543834.1543996","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation","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/A5100947342","display_name":"Fan Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fan Xie","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China, 100876, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China, 100876, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019405558","display_name":"Suoju He","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Suoju He","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China, 100876, beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China, 100876, beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100441071","display_name":"Xiao Liu","orcid":"https://orcid.org/0000-0002-5101-3034"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao Liu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China, 100876, beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China, 100876, beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103336011","display_name":"Xingguo Li","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingguo Li","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China, 100876, beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China, 100876, beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102058365","display_name":"Junping Du","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junping Du","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China, 100876, beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China, 100876, beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030025868","display_name":"Jiajian Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajian Yang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China, 100876, beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China, 100876, beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103132487","display_name":"Yiwen Fu","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiwen Fu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China, 100876, beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China, 100876, beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100350503","display_name":"Yang Chen","orcid":"https://orcid.org/0000-0003-4749-3060"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Chen","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China, 100876, beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China, 100876, beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100670736","display_name":"Junping Wang","orcid":"https://orcid.org/0000-0002-3715-165X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junping Wang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China, 100876, beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China, 100876, beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100725250","display_name":"Zhiqing Liu","orcid":"https://orcid.org/0000-0002-0290-3022"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqing Liu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China, 100876, beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China, 100876, beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103190807","display_name":"Qiliang Zhu","orcid":"https://orcid.org/0000-0002-7977-9672"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiliang Zhu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China, 100876, beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China, 100876, beijing, China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":11,"corresponding_author_ids":["https://openalex.org/A5100947342"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.8724,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.8169331,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1013","last_page":"1016"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.9995999932289124,"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/T11574","display_name":"Artificial Intelligence in Games","score":0.9995999932289124,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9966999888420105,"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/T11197","display_name":"Digital Games and Media","score":0.9598000049591064,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social 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":0.812138557434082},{"id":"https://openalex.org/keywords/adversary","display_name":"Adversary","score":0.6600073575973511},{"id":"https://openalex.org/keywords/adaptability","display_name":"Adaptability","score":0.5872752070426941},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5610767006874084},{"id":"https://openalex.org/keywords/video-game","display_name":"Video game","score":0.5165590047836304},{"id":"https://openalex.org/keywords/entertainment","display_name":"Entertainment","score":0.46558845043182373},{"id":"https://openalex.org/keywords/video-game-design","display_name":"Video game design","score":0.4325326681137085},{"id":"https://openalex.org/keywords/fictitious-play","display_name":"Fictitious play","score":0.4212662875652313},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.4141498804092407},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34510722756385803},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.3206064701080322},{"id":"https://openalex.org/keywords/game-design","display_name":"Game design","score":0.30248183012008667},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.12031230330467224}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.812138557434082},{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.6600073575973511},{"id":"https://openalex.org/C177606310","wikidata":"https://www.wikidata.org/wiki/Q5674297","display_name":"Adaptability","level":2,"score":0.5872752070426941},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5610767006874084},{"id":"https://openalex.org/C3018412434","wikidata":"https://www.wikidata.org/wiki/Q7889","display_name":"Video game","level":2,"score":0.5165590047836304},{"id":"https://openalex.org/C512170562","wikidata":"https://www.wikidata.org/wiki/Q173799","display_name":"Entertainment","level":2,"score":0.46558845043182373},{"id":"https://openalex.org/C47187476","wikidata":"https://www.wikidata.org/wiki/Q12336660","display_name":"Video game design","level":3,"score":0.4325326681137085},{"id":"https://openalex.org/C145071142","wikidata":"https://www.wikidata.org/wiki/Q1411116","display_name":"Fictitious play","level":3,"score":0.4212662875652313},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.4141498804092407},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34510722756385803},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.3206064701080322},{"id":"https://openalex.org/C503285160","wikidata":"https://www.wikidata.org/wiki/Q858057","display_name":"Game design","level":2,"score":0.30248183012008667},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.12031230330467224},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"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/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1543834.1543996","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1543834.1543996","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation","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":9,"referenced_works":["https://openalex.org/W1533683493","https://openalex.org/W1625390266","https://openalex.org/W2116067849","https://openalex.org/W2119649108","https://openalex.org/W2119686349","https://openalex.org/W2137987759","https://openalex.org/W2141419589","https://openalex.org/W2168405694","https://openalex.org/W4230665353"],"related_works":["https://openalex.org/W2588094729","https://openalex.org/W1583852935","https://openalex.org/W4207081595","https://openalex.org/W2086822623","https://openalex.org/W4294947912","https://openalex.org/W4311459595","https://openalex.org/W2130088927","https://openalex.org/W3170685057","https://openalex.org/W3095685693","https://openalex.org/W4295008850"],"abstract_inverted_index":{"Adaptive":[0],"Game":[1,106,119],"AI":[2,7,28,154],"improves":[3],"adaptability":[4],"of":[5,14,22,43,77,140,151],"opponent":[6,153],"as":[8,10,17],"well":[9,52],"the":[11,15,20,39,112,137,145,149,152],"challenge":[12],"level":[13],"gameplay,":[16],"a":[18],"result":[19,63],"entertainment":[21],"game":[23,27],"is":[24,29,80,89,101,132,142,155],"augmented.":[25],"Opponent":[26,107,120],"usually":[30],"implemented":[31],"by":[32,108],"scripted":[33],"rules":[34],"in":[35,53,69],"video":[36,70],"games,":[37],"but":[38],"most":[40],"updated":[41],"algorithm":[42],"UCT":[44,93,113],"(Upper":[45],"Confidence":[46],"bound":[47],"for":[48,84,121],"Trees)":[49],"which":[50],"perform":[51],"computer":[54],"go":[55],"can":[56,94],"also":[57,135],"be":[58],"used":[59],"to":[60,64,74,103,144],"achieve":[61],"excellent":[62],"control":[65],"non-player":[66],"characters":[67],"(NPCs)":[68],"games.":[71],"However,":[72],"due":[73],"computational":[75,130],"intensiveness":[76,131],"UCT,":[78],"it":[79,88,100],"actually":[81],"not":[82],"suitable":[83],"Online":[85,122],"Games.":[86],"As":[87],"already":[90],"known":[91],"that":[92],"create":[95,104],"near":[96],"optimal":[97],"control,":[98],"so":[99],"possible":[102],"Neuro-Controlled":[105,118],"off-line":[109],"learning":[110],"from":[111,124],"created":[114],"sample":[115],"data;":[116],"finally":[117],"Games":[123],"UCT-Created":[125],"Data":[126],"without":[127],"worry":[128],"about":[129],"generated.":[133],"And":[134],"if":[136],"optimization":[138],"approach":[139],"Neuro-Evolution":[141],"applied":[143],"above":[146],"generated":[147],"Neuro-Controller,":[148],"performance":[150],"enhanced":[156],"even":[157],"further.":[158]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
