乐胖代购免代理版

{"id":"https://openalex.org/W2161232659","doi":"https://doi.org/10.1109/cig.2008.5035658","title":"Learning and knowledge generation in General Games","display_name":"Learning and knowledge generation in General Games","publication_year":2008,"publication_date":"2008-12-01","ids":{"openalex":"https://openalex.org/W2161232659","doi":"https://doi.org/10.1109/cig.2008.5035658","mag":"2161232659"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/cig.2008.5035658","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://www.csse.uwa.edu.au/cig08/Proceedings/papers/8035.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026707929","display_name":"Shiven Sharma","orcid":null},"institutions":[{"id":"https://openalex.org/I74413500","display_name":"University of Windsor","ror":"https://ror.org/01gw3d370","country_code":"CA","type":"education","lineage":["https://openalex.org/I74413500"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Shiven Sharma","raw_affiliation_strings":["School of Computer Science, University of Windsor, Windsor, ONT, Canada"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Windsor, Windsor, ONT, Canada","institution_ids":["https://openalex.org/I74413500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056407977","display_name":"Ziad Kobti","orcid":"https://orcid.org/0000-0001-9503-9730"},"institutions":[{"id":"https://openalex.org/I74413500","display_name":"University of Windsor","ror":"https://ror.org/01gw3d370","country_code":"CA","type":"education","lineage":["https://openalex.org/I74413500"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ziad Kobti","raw_affiliation_strings":["School of Computer Science, University of Windsor, Windsor, ONT, Canada"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Windsor, Windsor, ONT, Canada","institution_ids":["https://openalex.org/I74413500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112714741","display_name":"Scott D. Goodwin","orcid":null},"institutions":[{"id":"https://openalex.org/I74413500","display_name":"University of Windsor","ror":"https://ror.org/01gw3d370","country_code":"CA","type":"education","lineage":["https://openalex.org/I74413500"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Scott Goodwin","raw_affiliation_strings":["School of Computer Science, University of Windsor, Windsor, ONT, Canada"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, University of Windsor, Windsor, ONT, Canada","institution_ids":["https://openalex.org/I74413500"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.886,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":7,"citation_normalized_percentile":{"value":0.453787,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":81,"max":82},"biblio":{"volume":null,"issue":null,"first_page":"329","last_page":"335"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.9999,"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":0.9999,"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/T11674","display_name":"Sports Analytics and Performance","score":0.9936,"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"}},{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9907,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/representation","display_name":"Representation","score":0.43913773},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4292665}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7639307},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.6860419},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.62886983},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.55102783},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5164071},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.43913773},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4292665},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39465472},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10046062},{"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/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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/cig.2008.5035658","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.205.5110","pdf_url":"http://www.csse.uwa.edu.au/cig08/Proceedings/papers/8035.pdf","source":{"id":"https://openalex.org/S4306400349","display_name":"CiteSeer X (The Pennsylvania State University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I130769515","host_organization_name":"Pennsylvania State University","host_organization_lineage":["https://openalex.org/I130769515"],"host_organization_lineage_names":["Pennsylvania State University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.205.5110","pdf_url":"http://www.csse.uwa.edu.au/cig08/Proceedings/papers/8035.pdf","source":{"id":"https://openalex.org/S4306400349","display_name":"CiteSeer X (The Pennsylvania State University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I130769515","host_organization_name":"Pennsylvania State University","host_organization_lineage":["https://openalex.org/I130769515"],"host_organization_lineage_names":["Pennsylvania State University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":23,"referenced_works":["https://openalex.org/W1492640216","https://openalex.org/W1548403904","https://openalex.org/W1557039239","https://openalex.org/W1625390266","https://openalex.org/W1804031886","https://openalex.org/W1953153943","https://openalex.org/W1979572685","https://openalex.org/W2000224079","https://openalex.org/W2017987025","https://openalex.org/W2073634681","https://openalex.org/W2099587183","https://openalex.org/W2105715007","https://openalex.org/W2111935653","https://openalex.org/W2121863487","https://openalex.org/W2122659384","https://openalex.org/W2131600418","https://openalex.org/W2154929945","https://openalex.org/W2156361796","https://openalex.org/W2168405694","https://openalex.org/W2787259794","https://openalex.org/W3011120880","https://openalex.org/W4214717370","https://openalex.org/W58580010"],"related_works":["https://openalex.org/W54497855","https://openalex.org/W4380318855","https://openalex.org/W4362501864","https://openalex.org/W4306904969","https://openalex.org/W3125814499","https://openalex.org/W3121970507","https://openalex.org/W217960748","https://openalex.org/W2110028391","https://openalex.org/W2090827041","https://openalex.org/W2032233321"],"abstract_inverted_index":{"General":[0],"Game":[1],"Playing":[2],"(GGP)":[3],"aims":[4],"at":[5],"developing":[6],"game":[7,24],"playing":[8],"agents":[9],"that":[10],"are":[11],"able":[12],"to":[13],"play":[14],"a":[15,85,99],"variety":[16,86],"of":[17,23,72,79,87,110],"games":[18],"and":[19,50,57,103],"in":[20,52,84,92],"the":[21,70,73,77,82,96,107],"absence":[22,109],"specific":[25],"knowledge,":[26],"become":[27],"proficient":[28],"players.":[29],"Most":[30],"GGP":[31,53],"players":[32,80],"have":[33],"used":[34],"standard":[35],"tree-search":[36],"techniques":[37],"enhanced":[38],"by":[39,64,75],"automatic":[40],"heuristic":[41],"learning.":[42],"In":[43],"this":[44,93],"paper":[45,94],"we":[46],"explore":[47],"knowledge":[48,74,83,104],"representation":[49],"learning":[51,102],"using":[54,81],"Reinforcement":[55],"Learning":[56],"Ant":[58],"Colony":[59],"Algorithms.":[60],"Knowledge":[61],"is":[62],"created":[63],"simulating":[65],"random":[66],"games.":[67,88],"We":[68],"test":[69],"quality":[71],"comparing":[76],"performance":[78],"The":[89],"ideas":[90],"presented":[91],"provide":[95],"potential":[97],"for":[98,101],"framework":[100],"representation,":[105],"given":[106],"total":[108],"any":[111],"prior":[112],"knowledge.":[113]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2161232659","counts_by_year":[{"year":2012,"cited_by_count":2}],"updated_date":"2024-12-07T08:11:37.848469","created_date":"2016-06-24"}