{"id":"https://openalex.org/W2084434672","doi":"https://doi.org/10.1109/cisis.2012.27","title":"Experience Generation in Tic-Tac-Toe for General Game Learning","display_name":"Experience Generation in Tic-Tac-Toe for General Game Learning","publication_year":2012,"publication_date":"2012-07-01","ids":{"openalex":"https://openalex.org/W2084434672","doi":"https://doi.org/10.1109/cisis.2012.27","mag":"2084434672"},"language":"en","primary_location":{"id":"doi:10.1109/cisis.2012.27","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisis.2012.27","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems","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/A5056512708","display_name":"Xiaojian Song","orcid":"https://orcid.org/0000-0002-7723-5743"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaojian Song","raw_affiliation_strings":["Department of Computer Science, Hangzhou Dianzi University, Hangzhou, Zhejiang, China","Department of Computer Science, Hangzhou Dianzi University, Hangzhou, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Hangzhou Dianzi University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I50760025"]},{"raw_affiliation_string":"Department of Computer Science, Hangzhou Dianzi University, Hangzhou, China#TAB#","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5056512708"],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":null,"apc_paid":null,"fwci":0.4281,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.72550334,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.9986000061035156,"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":0.9986000061035156,"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":0.9973999857902527,"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/T10731","display_name":"Educational Games and Gamification","score":0.9674999713897705,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational 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/victory","display_name":"Victory","score":0.822387158870697},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6950356960296631},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6867798566818237},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5530529618263245},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4876026213169098},{"id":"https://openalex.org/keywords/sequential-game","display_name":"Sequential game","score":0.4793320894241333},{"id":"https://openalex.org/keywords/game-design","display_name":"Game design","score":0.4646804630756378},{"id":"https://openalex.org/keywords/video-game-design","display_name":"Video game design","score":0.4646695554256439},{"id":"https://openalex.org/keywords/screening-game","display_name":"Screening game","score":0.44739145040512085},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.43658146262168884},{"id":"https://openalex.org/keywords/repeated-game","display_name":"Repeated game","score":0.4360429346561432},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.4283517897129059},{"id":"https://openalex.org/keywords/game-mechanics","display_name":"Game mechanics","score":0.42380639910697937},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4058513641357422},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.33981412649154663},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.30620279908180237},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.12377575039863586},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07870614528656006}],"concepts":[{"id":"https://openalex.org/C2779220109","wikidata":"https://www.wikidata.org/wiki/Q50000","display_name":"Victory","level":3,"score":0.822387158870697},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6950356960296631},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6867798566818237},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5530529618263245},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4876026213169098},{"id":"https://openalex.org/C73795354","wikidata":"https://www.wikidata.org/wiki/Q287618","display_name":"Sequential game","level":3,"score":0.4793320894241333},{"id":"https://openalex.org/C503285160","wikidata":"https://www.wikidata.org/wiki/Q858057","display_name":"Game design","level":2,"score":0.4646804630756378},{"id":"https://openalex.org/C47187476","wikidata":"https://www.wikidata.org/wiki/Q12336660","display_name":"Video game design","level":3,"score":0.4646695554256439},{"id":"https://openalex.org/C167573328","wikidata":"https://www.wikidata.org/wiki/Q7439054","display_name":"Screening game","level":4,"score":0.44739145040512085},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.43658146262168884},{"id":"https://openalex.org/C202556891","wikidata":"https://www.wikidata.org/wiki/Q1584646","display_name":"Repeated game","level":3,"score":0.4360429346561432},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.4283517897129059},{"id":"https://openalex.org/C170828538","wikidata":"https://www.wikidata.org/wiki/Q1751513","display_name":"Game mechanics","level":2,"score":0.42380639910697937},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4058513641357422},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.33981412649154663},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.30620279908180237},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.12377575039863586},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07870614528656006},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisis.2012.27","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisis.2012.27","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2012 Sixth International Conference on Complex, Intelligent, and Software Intensive Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6600000262260437,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W58580010","https://openalex.org/W1517412219","https://openalex.org/W1953153943","https://openalex.org/W2000224079","https://openalex.org/W2068885397","https://openalex.org/W2073634681","https://openalex.org/W2099587183","https://openalex.org/W2105715007","https://openalex.org/W2106953752","https://openalex.org/W2122410182","https://openalex.org/W2149308876","https://openalex.org/W2161232659","https://openalex.org/W3041202696","https://openalex.org/W4214717370","https://openalex.org/W6602395611","https://openalex.org/W6675434749","https://openalex.org/W6676297359"],"related_works":["https://openalex.org/W2393381316","https://openalex.org/W2039104542","https://openalex.org/W2245182960","https://openalex.org/W2523494041","https://openalex.org/W831646908","https://openalex.org/W2080898146","https://openalex.org/W4205287490","https://openalex.org/W4200519239","https://openalex.org/W33545662","https://openalex.org/W58580010"],"abstract_inverted_index":{"General":[0],"Game":[1],"Playing":[2],"aims":[3],"at":[4],"developing":[5],"game":[6,20,44,49],"playing":[7],"agents":[8],"that":[9],"are":[10,87],"able":[11],"to":[12,79],"play":[13],"a":[14,27,97],"variety":[15],"of":[16,35,43,48,83],"games":[17,92],"proficiently":[18],"without":[19],"specific":[21],"experience.":[22],"This":[23],"paper":[24],"poses":[25],"with":[26],"simplified":[28],"experience-based":[29],"learning":[30],"approach":[31,52],"on":[32],"the":[33,36,41,54,64,68,81],"basis":[34],"Reinforcement":[37],"Learning":[38],"Algorithms.":[39],"Through":[40],"selection":[42],"states":[45],"and":[46,62,96],"induction":[47],"experience,":[50],"this":[51,84],"reduces":[53],"needed":[55],"experience":[56],"in":[57,89],"decision-making":[58],"process,":[59],"improving":[60],"efficiency":[61],"making":[63],"AI":[65,94],"player":[66,95],"reach":[67],"specified":[69],"goal":[70],"such":[71],"as":[72],"victory,":[73],"draw":[74],"or":[75],"defeat.":[76],"In":[77],"order":[78],"test":[80],"effectiveness":[82],"approach,":[85],"matches":[86],"played":[88],"several":[90],"different":[91],"between":[93],"random":[98],"player.":[99]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}