{"id":"https://openalex.org/W2872182239","doi":"https://doi.org/10.1145/3205651.3205695","title":"Hybrid fighting game AI using a genetic algorithm and Monte Carlo tree search","display_name":"Hybrid fighting game AI using a genetic algorithm and Monte Carlo tree search","publication_year":2018,"publication_date":"2018-07-06","ids":{"openalex":"https://openalex.org/W2872182239","doi":"https://doi.org/10.1145/3205651.3205695","mag":"2872182239"},"language":"en","primary_location":{"id":"doi:10.1145/3205651.3205695","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3205651.3205695","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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/A5067338383","display_name":"Man-Je Kim","orcid":"https://orcid.org/0000-0002-6402-2861"},"institutions":[{"id":"https://openalex.org/I39534123","display_name":"Gwangju Institute of Science and Technology","ror":"https://ror.org/024kbgz78","country_code":"KR","type":"education","lineage":["https://openalex.org/I39534123"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Man-Je Kim","raw_affiliation_strings":["Gwangju Institute of Science and Technology, Gwangju, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Gwangju Institute of Science and Technology, Gwangju, Republic of Korea","institution_ids":["https://openalex.org/I39534123"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028715246","display_name":"Chang Wook Ahn","orcid":"https://orcid.org/0000-0002-9902-5966"},"institutions":[{"id":"https://openalex.org/I39534123","display_name":"Gwangju Institute of Science and Technology","ror":"https://ror.org/024kbgz78","country_code":"KR","type":"education","lineage":["https://openalex.org/I39534123"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chang Wook Ahn","raw_affiliation_strings":["Gwangju Institute of Science and Technology, Gwangju, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Gwangju Institute of Science and Technology, Gwangju, Republic of Korea","institution_ids":["https://openalex.org/I39534123"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5067338383"],"corresponding_institution_ids":["https://openalex.org/I39534123"],"apc_list":null,"apc_paid":null,"fwci":1.0784,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.84815705,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"129","last_page":"130"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.9998000264167786,"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":0.9998000264167786,"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":0.995199978351593,"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"}},{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9868000149726868,"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/monte-carlo-tree-search","display_name":"Monte Carlo tree search","score":0.9066022634506226},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7871246337890625},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6800099611282349},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6099457740783691},{"id":"https://openalex.org/keywords/video-game","display_name":"Video game","score":0.5353119373321533},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5289556980133057},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.4927671253681183},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.47039660811424255},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4675534963607788},{"id":"https://openalex.org/keywords/combinatorial-game-theory","display_name":"Combinatorial game theory","score":0.4667865037918091},{"id":"https://openalex.org/keywords/evolutionary-computation","display_name":"Evolutionary computation","score":0.4493088722229004},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42927563190460205},{"id":"https://openalex.org/keywords/game-tree","display_name":"Game tree","score":0.4157751500606537},{"id":"https://openalex.org/keywords/sequential-game","display_name":"Sequential game","score":0.3950505554676056},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3353234529495239},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.33339130878448486},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.31256937980651855},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.09408262372016907},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.088724285364151}],"concepts":[{"id":"https://openalex.org/C46149586","wikidata":"https://www.wikidata.org/wiki/Q11785332","display_name":"Monte Carlo tree search","level":3,"score":0.9066022634506226},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7871246337890625},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6800099611282349},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6099457740783691},{"id":"https://openalex.org/C3018412434","wikidata":"https://www.wikidata.org/wiki/Q7889","display_name":"Video game","level":2,"score":0.5353119373321533},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5289556980133057},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.4927671253681183},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.47039660811424255},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4675534963607788},{"id":"https://openalex.org/C102234262","wikidata":"https://www.wikidata.org/wiki/Q1320931","display_name":"Combinatorial game theory","level":4,"score":0.4667865037918091},{"id":"https://openalex.org/C105902424","wikidata":"https://www.wikidata.org/wiki/Q1197129","display_name":"Evolutionary computation","level":2,"score":0.4493088722229004},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42927563190460205},{"id":"https://openalex.org/C95815963","wikidata":"https://www.wikidata.org/wiki/Q1377033","display_name":"Game tree","level":4,"score":0.4157751500606537},{"id":"https://openalex.org/C73795354","wikidata":"https://www.wikidata.org/wiki/Q287618","display_name":"Sequential game","level":3,"score":0.3950505554676056},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3353234529495239},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.33339130878448486},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.31256937980651855},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.09408262372016907},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.088724285364151},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3205651.3205695","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3205651.3205695","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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":3,"referenced_works":["https://openalex.org/W1659842140","https://openalex.org/W2567165815","https://openalex.org/W2766463513"],"related_works":["https://openalex.org/W4287370909","https://openalex.org/W2098501469","https://openalex.org/W4254667630","https://openalex.org/W2914188613","https://openalex.org/W3121173017","https://openalex.org/W2414084615","https://openalex.org/W4221159562","https://openalex.org/W2252918381","https://openalex.org/W4248902224","https://openalex.org/W47369278"],"abstract_inverted_index":{"Real-time":[0],"video":[1],"game":[2],"problems":[3],"are":[4,47],"very":[5,105],"challenging":[6],"because":[7],"of":[8,72,82,93,115],"short":[9],"response":[10],"times":[11],"and":[12,20,28,37,57,89,117],"numerous":[13],"state":[14],"space":[15],"issues.":[16],"As":[17],"global":[18],"companies":[19],"research":[21],"institutes":[22],"such":[23,50],"as":[24,51],"Google,":[25],"Facebook,":[26],"Intel":[27],"Carnegie":[29],"Mellon":[30],"university":[31],"continue":[32],"to":[33,62,77,111,134],"develop":[34],"Artificial":[35],"Intelligence(AI)":[36],"participated":[38],"in":[39,86,107],"various":[40],"Game":[41,125,139],"AI":[42,45,126],"competitions,":[43],"many":[44],"developers":[46],"implementing":[48],"algorithms,":[49],"Monte":[52],"Carlo":[53],"Tree":[54],"Search":[55],"(MCTS)":[56],"Deep":[58],"Reinforcement":[59],"Learning":[60],"(DRL),":[61],"solve":[63,112],"problems.":[64],"However,":[65],"these":[66],"algorithms":[67],"also":[68],"have":[69],"a":[70,129],"number":[71,81],"limitations,":[73],"including":[74],"the":[75,80,87,90,100,113,118,122],"inability":[76],"effectively":[78],"calculate":[79],"possible":[83],"cases":[84],"present":[85],"games":[88],"large":[91],"amount":[92],"time":[94],"required":[95],"for":[96],"computation.":[97],"We":[98,132],"combine":[99],"genetic":[101],"algorithm,":[102],"which":[103,120],"is":[104],"effective":[106],"finding":[108],"general":[109],"solutions":[110],"constraints":[114],"AI,":[116],"MCTS,":[119],"dominates":[121],"recent":[123],"Fighting":[124,138],"Competition,":[127],"into":[128],"hierarchical":[130],"structure.":[131],"propose":[133],"call":[135],"it":[136],"Hybrid":[137],"AI.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}