{"id":"https://openalex.org/W2897406577","doi":"https://doi.org/10.1109/cig.2018.8490442","title":"Human-Like Playtesting with Deep Learning","display_name":"Human-Like Playtesting with Deep Learning","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2897406577","doi":"https://doi.org/10.1109/cig.2018.8490442","mag":"2897406577"},"language":"en","primary_location":{"id":"doi:10.1109/cig.2018.8490442","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cig.2018.8490442","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Conference on Computational Intelligence and Games (CIG)","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/A5065038797","display_name":"Stefan Freyr Gudmundsson","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Stefan Freyr Gudmundsson","raw_affiliation_strings":["AI R&D, King Digital Entertainment, Activision Blizzard Group, Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI R&D, King Digital Entertainment, Activision Blizzard Group, Stockholm, Sweden","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000905056","display_name":"Philipp Eisen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Philipp Eisen","raw_affiliation_strings":["AI R&D, King Digital Entertainment, Activision Blizzard Group, Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI R&D, King Digital Entertainment, Activision Blizzard Group, Stockholm, Sweden","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050769854","display_name":"Erik Ragnar Poromaa","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Erik Poromaa","raw_affiliation_strings":["AI R&D, King Digital Entertainment, Activision Blizzard Group, Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI R&D, King Digital Entertainment, Activision Blizzard Group, Stockholm, Sweden","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004726264","display_name":"Alex Nodet","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alex Nodet","raw_affiliation_strings":["AI R&D, King Digital Entertainment, Activision Blizzard Group, Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI R&D, King Digital Entertainment, Activision Blizzard Group, Stockholm, Sweden","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001143395","display_name":"Sami Purmonen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sami Purmonen","raw_affiliation_strings":["AI R&D, King Digital Entertainment, Activision Blizzard Group, Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI R&D, King Digital Entertainment, Activision Blizzard Group, Stockholm, Sweden","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080092743","display_name":"B. Kozakowski","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bartlomiej Kozakowski","raw_affiliation_strings":["AI R&D, King Digital Entertainment, Activision Blizzard Group, Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI R&D, King Digital Entertainment, Activision Blizzard Group, Stockholm, Sweden","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073525658","display_name":"Richard Meurling","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Richard Meurling","raw_affiliation_strings":["AI R&D, King Digital Entertainment, Activision Blizzard Group, Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI R&D, King Digital Entertainment, Activision Blizzard Group, Stockholm, Sweden","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090184412","display_name":"Lele Cao","orcid":"https://orcid.org/0000-0002-5680-9031"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lele Cao","raw_affiliation_strings":["AI R&D, King Digital Entertainment, Activision Blizzard Group, Stockholm, Sweden"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI R&D, King Digital Entertainment, Activision Blizzard Group, Stockholm, Sweden","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5065038797"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.1139,"has_fulltext":false,"cited_by_count":86,"citation_normalized_percentile":{"value":0.97563653,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"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/T11574","display_name":"Artificial Intelligence in Games","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9988999962806702,"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/T11705","display_name":"Gambling Behavior and Treatments","score":0.9886999726295471,"subfield":{"id":"https://openalex.org/subfields/3203","display_name":"Clinical Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8317263126373291},{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.8145568370819092},{"id":"https://openalex.org/keywords/monte-carlo-tree-search","display_name":"Monte Carlo tree search","score":0.7690505981445312},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6101177930831909},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.60398930311203},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5839875936508179},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5285478830337524},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5242831110954285},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4650460481643677},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4361240863800049},{"id":"https://openalex.org/keywords/fraction","display_name":"Fraction (chemistry)","score":0.43093883991241455},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4262194335460663},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.3629099130630493},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14264369010925293},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.0853644609451294}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8317263126373291},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.8145568370819092},{"id":"https://openalex.org/C46149586","wikidata":"https://www.wikidata.org/wiki/Q11785332","display_name":"Monte Carlo tree search","level":3,"score":0.7690505981445312},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6101177930831909},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.60398930311203},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5839875936508179},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5285478830337524},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5242831110954285},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4650460481643677},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4361240863800049},{"id":"https://openalex.org/C149629883","wikidata":"https://www.wikidata.org/wiki/Q660926","display_name":"Fraction (chemistry)","level":2,"score":0.43093883991241455},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4262194335460663},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.3629099130630493},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14264369010925293},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0853644609451294},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cig.2018.8490442","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cig.2018.8490442","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Conference on Computational Intelligence and Games (CIG)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W148591480","https://openalex.org/W179947112","https://openalex.org/W788042400","https://openalex.org/W1508483467","https://openalex.org/W1686810756","https://openalex.org/W1714211023","https://openalex.org/W1750339092","https://openalex.org/W1836465849","https://openalex.org/W1902878251","https://openalex.org/W1997840820","https://openalex.org/W2011974988","https://openalex.org/W2020135152","https://openalex.org/W2033338892","https://openalex.org/W2045531194","https://openalex.org/W2085090536","https://openalex.org/W2086326811","https://openalex.org/W2090255638","https://openalex.org/W2116087203","https://openalex.org/W2126316555","https://openalex.org/W2134264591","https://openalex.org/W2150468603","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2257979135","https://openalex.org/W2534314849","https://openalex.org/W2547323929","https://openalex.org/W2574252542","https://openalex.org/W2575813499","https://openalex.org/W2576264401","https://openalex.org/W2576779203","https://openalex.org/W2577451910","https://openalex.org/W2590714056","https://openalex.org/W2604283518","https://openalex.org/W2611228102","https://openalex.org/W2727836376","https://openalex.org/W2733971344","https://openalex.org/W2761234549","https://openalex.org/W2766447205","https://openalex.org/W2766601741","https://openalex.org/W2789119104","https://openalex.org/W2792893218","https://openalex.org/W2909785781","https://openalex.org/W2919115771","https://openalex.org/W2949117887","https://openalex.org/W2963285578","https://openalex.org/W2963911037","https://openalex.org/W2964201809","https://openalex.org/W2966059979","https://openalex.org/W3103780890","https://openalex.org/W3111686562","https://openalex.org/W4299998071","https://openalex.org/W6637373629","https://openalex.org/W6637770179","https://openalex.org/W6638444622","https://openalex.org/W6638667902","https://openalex.org/W6680105153","https://openalex.org/W6685562342","https://openalex.org/W6731878110","https://openalex.org/W6732161259","https://openalex.org/W6732291021","https://openalex.org/W6732582751","https://openalex.org/W6740208863","https://openalex.org/W6740396891","https://openalex.org/W6745372846","https://openalex.org/W6750998844","https://openalex.org/W6758055746","https://openalex.org/W6766256442","https://openalex.org/W6787129289","https://openalex.org/W7051713074","https://openalex.org/W7074022264"],"related_works":["https://openalex.org/W2883256816","https://openalex.org/W2171408034","https://openalex.org/W3003320923","https://openalex.org/W2106140982","https://openalex.org/W2152313554","https://openalex.org/W3048672182","https://openalex.org/W1509300825","https://openalex.org/W2054620577","https://openalex.org/W3092582874","https://openalex.org/W2065450024"],"abstract_inverted_index":{"We":[0,20],"present":[1],"an":[2],"approach":[3,139],"to":[4,23,53,129],"learn":[5,24],"and":[6,25,70,79,90,104],"deploy":[7],"human-like":[8],"playtesting":[9],"in":[10,31,96],"computer":[11],"games":[12,110],"based":[13],"on":[14,38],"deep":[15],"learning":[16,37],"from":[17,74],"player":[18,68],"data.":[19],"are":[21,106],"able":[22],"predict":[26,54],"the":[27,50,63,86,158],"most":[28,61],"\"human\"":[29],"action":[30],"a":[32,39,117,122,155],"given":[33],"position":[34],"through":[35],"supervised":[36],"convolutional":[40],"neural":[41],"network.":[42],"Furthermore,":[43],"we":[44,47,135],"show":[45,136],"how":[46],"can":[48],"use":[49],"learned":[51],"network":[52],"key":[55],"metrics":[56],"of":[57,65,157],"new":[58],"content":[59,99],"-":[60],"notably":[62],"difficulty":[64],"levels.":[66],"Our":[67],"data":[69,72],"empirical":[71],"come":[73],"Candy":[75,80],"Crush":[76,81],"Saga":[77,83],"(CCS)":[78],"Soda":[82],"(CCSS).":[84],"However,":[85],"method":[87],"is":[88,101],"general":[89],"well":[91,151],"suited":[92],"for":[93,125],"many":[94],"games,":[95],"particular":[97],"where":[98],"creation":[100],"sequential.":[102],"CCS":[103],"CCSS":[105],"non-deterministic":[107],"match-3":[108],"puzzle":[109],"with":[111,142],"multiple":[112],"game":[113],"modes":[114],"spread":[115],"over":[116],"few":[118],"thousand":[119],"levels,":[120],"providing":[121],"diverse":[123],"testbed":[124],"this":[126,138],"technique.":[127],"Compared":[128],"Monte":[130],"Carlo":[131],"Tree":[132],"Search":[133],"(MCTS)":[134],"that":[137],"increases":[140],"correlation":[141],"average":[143],"level":[144],"difficulty,":[145],"giving":[146],"more":[147],"accurate":[148],"predictions":[149],"as":[150,152],"requiring":[153],"only":[154],"fraction":[156],"computation":[159],"time.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":20},{"year":2019,"cited_by_count":10}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}