{"id":"https://openalex.org/W2591367559","doi":"https://doi.org/10.1109/cig.2016.7860407","title":"Generating heuristics for novice players","display_name":"Generating heuristics for novice players","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2591367559","doi":"https://doi.org/10.1109/cig.2016.7860407","mag":"2591367559"},"language":"en","primary_location":{"id":"doi:10.1109/cig.2016.7860407","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cig.2016.7860407","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 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/A5074480985","display_name":"Fernando de Mesentier Silva","orcid":"https://orcid.org/0000-0001-7456-910X"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Fernando de Mesentier Silva","raw_affiliation_strings":["Tandon School of Engineering, New York University"],"affiliations":[{"raw_affiliation_string":"Tandon School of Engineering, New York University","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081219513","display_name":"Aaron Isaksen","orcid":"https://orcid.org/0000-0001-7659-2987"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aaron Isaksen","raw_affiliation_strings":["Tandon School of Engineering, New York University"],"affiliations":[{"raw_affiliation_string":"Tandon School of Engineering, New York University","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077267552","display_name":"Julian Togelius","orcid":"https://orcid.org/0000-0003-3128-4598"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Julian Togelius","raw_affiliation_strings":["Tandon School of Engineering, New York University"],"affiliations":[{"raw_affiliation_string":"Tandon School of Engineering, New York University","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002087173","display_name":"Andy Nealen","orcid":null},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andy Nealen","raw_affiliation_strings":["Tandon School of Engineering, New York University"],"affiliations":[{"raw_affiliation_string":"Tandon School of Engineering, New York University","institution_ids":["https://openalex.org/I57206974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5074480985"],"corresponding_institution_ids":["https://openalex.org/I57206974"],"apc_list":null,"apc_paid":null,"fwci":6.4271,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.96787363,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"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":0.9997000098228455,"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":0.9950000047683716,"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/T11674","display_name":"Sports Analytics and Performance","score":0.9936000108718872,"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/heuristics","display_name":"Heuristics","score":0.770696759223938},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.679705023765564},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.34794139862060547}],"concepts":[{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.770696759223938},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.679705023765564},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.34794139862060547},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cig.2016.7860407","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cig.2016.7860407","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Conference on Computational Intelligence and Games (CIG)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"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":36,"referenced_works":["https://openalex.org/W1299839","https://openalex.org/W1481541785","https://openalex.org/W1483736078","https://openalex.org/W1497290640","https://openalex.org/W1515504392","https://openalex.org/W1528702458","https://openalex.org/W1568793067","https://openalex.org/W1576660662","https://openalex.org/W1576818901","https://openalex.org/W1670263352","https://openalex.org/W1839729100","https://openalex.org/W1937221307","https://openalex.org/W2038553372","https://openalex.org/W2043787485","https://openalex.org/W2051619803","https://openalex.org/W2072441740","https://openalex.org/W2106379514","https://openalex.org/W2107262494","https://openalex.org/W2110630796","https://openalex.org/W2118403576","https://openalex.org/W2120089946","https://openalex.org/W2134119260","https://openalex.org/W2159283652","https://openalex.org/W2159644498","https://openalex.org/W2159994554","https://openalex.org/W2160237541","https://openalex.org/W2257979135","https://openalex.org/W2315147822","https://openalex.org/W2594107332","https://openalex.org/W2911296969","https://openalex.org/W3193164689","https://openalex.org/W4212971335","https://openalex.org/W4237182290","https://openalex.org/W4249804345","https://openalex.org/W6629866293","https://openalex.org/W6734003264"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2280422768","https://openalex.org/W3143197806","https://openalex.org/W4252555497","https://openalex.org/W3121175838","https://openalex.org/W3016293053","https://openalex.org/W1690653314","https://openalex.org/W2401723157","https://openalex.org/W2784269775","https://openalex.org/W2952904874"],"abstract_inverted_index":{"We":[0,70,97],"consider":[1],"the":[2,34,72,84,110],"problem":[3],"of":[4,101],"generating":[5,53],"compact":[6,106],"sub-optimal":[7],"game-playing":[8],"heuristics":[9,25,108],"that":[10,26,99],"can":[11,27,104],"be":[12,37],"understood":[13],"and":[14,41,55,66,79,94],"easily":[15],"executed":[16],"by":[17],"novices.":[18],"In":[19],"particular,":[20],"we":[21],"seek":[22],"to":[23,29],"find":[24,98,105],"lead":[28],"good":[30],"play":[31],"while":[32],"at":[33],"same":[35],"time":[36],"expressed":[38],"as":[39,76],"fast":[40],"frugal":[42],"trees":[43],"or":[44],"short":[45],"decision":[46],"lists.":[47],"This":[48],"has":[49],"applications":[50],"in":[51,62,89],"automatically":[52],"tutorials":[54],"instructions":[56],"for":[57],"playing":[58],"games,":[59],"but":[60],"also":[61],"analyzing":[63],"game":[64,68,74],"design":[65],"measuring":[67],"depth.":[69],"use":[71],"classic":[73],"Blackjack":[75],"a":[77],"testbed,":[78],"compare":[80],"condition":[81],"induction":[82],"with":[83,113],"RIPPER":[85],"algorithm,":[86],"exhaustive-greedy":[87],"search":[88,115],"statement":[90],"space,":[91],"genetic":[92],"programming":[93],"axis-aligned":[95,114],"search.":[96],"all":[100],"these":[102],"methods":[103],"well-playing":[107],"under":[109],"given":[111],"constraints,":[112],"performing":[116],"particularly":[117],"well.":[118]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}