{"id":"https://openalex.org/W2943196592","doi":"https://doi.org/10.1145/3300115.3309510","title":"Teaching AI Algorithms with Games Including Mahjong and FightTheLandlord on the Botzone Online Platform","display_name":"Teaching AI Algorithms with Games Including Mahjong and FightTheLandlord on the Botzone Online Platform","publication_year":2019,"publication_date":"2019-05-03","ids":{"openalex":"https://openalex.org/W2943196592","doi":"https://doi.org/10.1145/3300115.3309510","mag":"2943196592"},"language":"en","primary_location":{"id":"doi:10.1145/3300115.3309510","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3300115.3309510","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Conference on Global Computing Education","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/A5100397214","display_name":"Wenxin Li","orcid":"https://orcid.org/0000-0003-1744-7792"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxin Li","raw_affiliation_strings":["Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101583975","display_name":"Haoyu Zhou","orcid":"https://orcid.org/0000-0002-6004-3761"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoyu Zhou","raw_affiliation_strings":["Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102985940","display_name":"Chris Wang","orcid":"https://orcid.org/0000-0003-3898-3690"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chris Wang","raw_affiliation_strings":["Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100399680","display_name":"Haifeng Zhang","orcid":"https://orcid.org/0000-0002-9890-8345"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haifeng Zhang","raw_affiliation_strings":["Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060919253","display_name":"Xingxing Hong","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingxing Hong","raw_affiliation_strings":["Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110717960","display_name":"Yushan Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yushan Zhou","raw_affiliation_strings":["Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103258855","display_name":"Qinjian Zhang","orcid":"https://orcid.org/0000-0002-8942-4664"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinjian Zhang","raw_affiliation_strings":["Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.5785,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.75020094,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"129","last_page":"135"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9958999752998352,"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"}},{"id":"https://openalex.org/T11197","display_name":"Digital Games and Media","score":0.9944999814033508,"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":0.7786918878555298},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7135571241378784},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6896923184394836},{"id":"https://openalex.org/keywords/suite","display_name":"Suite","score":0.5210461020469666},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5040232539176941},{"id":"https://openalex.org/keywords/milestone","display_name":"Milestone","score":0.49194905161857605},{"id":"https://openalex.org/keywords/video-game-design","display_name":"Video game design","score":0.43190568685531616},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.4214285910129547},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3893240690231323},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36868226528167725},{"id":"https://openalex.org/keywords/game-design","display_name":"Game design","score":0.35534289479255676}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7786918878555298},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7135571241378784},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6896923184394836},{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.5210461020469666},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5040232539176941},{"id":"https://openalex.org/C120060458","wikidata":"https://www.wikidata.org/wiki/Q10145","display_name":"Milestone","level":2,"score":0.49194905161857605},{"id":"https://openalex.org/C47187476","wikidata":"https://www.wikidata.org/wiki/Q12336660","display_name":"Video game design","level":3,"score":0.43190568685531616},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.4214285910129547},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3893240690231323},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36868226528167725},{"id":"https://openalex.org/C503285160","wikidata":"https://www.wikidata.org/wiki/Q858057","display_name":"Game design","level":2,"score":0.35534289479255676},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3300115.3309510","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3300115.3309510","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Conference on Global Computing Education","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":16,"referenced_works":["https://openalex.org/W1515851193","https://openalex.org/W1597864774","https://openalex.org/W1625390266","https://openalex.org/W1714211023","https://openalex.org/W1819526935","https://openalex.org/W1912882158","https://openalex.org/W2028540741","https://openalex.org/W2157803532","https://openalex.org/W2165136898","https://openalex.org/W2165883368","https://openalex.org/W2167167665","https://openalex.org/W2257979135","https://openalex.org/W2367079541","https://openalex.org/W2612041843","https://openalex.org/W2766447205","https://openalex.org/W2809129829"],"related_works":["https://openalex.org/W1583852935","https://openalex.org/W4207081595","https://openalex.org/W4294947912","https://openalex.org/W4311459595","https://openalex.org/W2130088927","https://openalex.org/W2488706709","https://openalex.org/W2375100596","https://openalex.org/W3092007154","https://openalex.org/W1583302349","https://openalex.org/W1544155453"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,56,102],"course":[4,17,53],"design,":[5],"named":[6],"Algorithms":[7],"in":[8,25,97,168],"Game":[9],"AI,":[10],"as":[11,163,165],"an":[12],"undergraduate":[13],"elective":[14],"course.":[15,137],"The":[16],"mainly":[18],"focuses":[19],"on":[20],"common":[21],"and":[22,35,58,74,81,112,117,133,142,171],"state-of-the-art":[23],"algorithms":[24,34,159,167],"the":[26,90,127,149],"game":[27,31,42,106],"AI":[28,43,98,107],"area,":[29],"including":[30,66],"tree":[32],"based":[33],"reinforcement":[36,157],"learning.":[37],"Powered":[38],"by":[39],"Botzone,":[40],"our":[41,85],"platform,":[44],"we":[45,125,144,151],"designed":[46],"different":[47],"types":[48],"of":[49,135],"assignments":[50],"for":[51,105],"this":[52,123,136],"to":[54,93],"bring":[55],"rich":[57],"fun":[59],"learning":[60,158],"experience.":[61],"We":[62,153],"chose":[63],"several":[64],"games":[65,96,150],"two":[67],"popular":[68],"Chinese":[69],"classic":[70],"ones,":[71],"namely":[72],"Mahjong":[73],"FightTheLandlord,":[75],"which":[76],"are":[77],"both":[78],"collaborative,":[79],"stochastic":[80],"partially":[82],"observable.":[83],"To":[84,109],"best":[86],"knowledge,":[87],"it":[88],"is":[89],"first":[91],"time":[92,170],"adopt":[94],"these":[95],"courses,":[99],"thus":[100],"providing":[101],"new":[103],"benchmark":[104],"education.":[108],"encourage":[110],"participation":[111],"reduce":[113],"frustration,":[114],"milestone-based":[115],"competitions":[116],"bonus":[118],"tasks":[119],"were":[120],"adopted.":[121],"In":[122],"paper,":[124],"present":[126],"structure,":[128],"teaching":[129],"tools,":[130],"techniques,":[131],"performance":[132,141],"findings":[134],"By":[138],"reviewing":[139],"students'":[140],"feedback,":[143],"found":[145,155],"that":[146,156],"students":[147],"enjoyed":[148],"provided.":[152],"also":[154],"did":[160],"not":[161],"perform":[162],"well":[164],"other":[166],"limited":[169],"resources.":[172]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}