{"id":"https://openalex.org/W2025997350","doi":"https://doi.org/10.1145/1830761.1830819","title":"An activation reinforcement based classifier system for balancing generalisation and specialisation (ARCS)","display_name":"An activation reinforcement based classifier system for balancing generalisation and specialisation (ARCS)","publication_year":2010,"publication_date":"2010-07-07","ids":{"openalex":"https://openalex.org/W2025997350","doi":"https://doi.org/10.1145/1830761.1830819","mag":"2025997350"},"language":"en","primary_location":{"id":"doi:10.1145/1830761.1830819","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1830761.1830819","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th annual conference companion on Genetic and evolutionary computation","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/A5049961437","display_name":"Anthony Knittel","orcid":"https://orcid.org/0000-0003-2783-7022"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Anthony Knittel","raw_affiliation_strings":["University of New South Wales, Sydney, Australia","University of New South wales, Sydney, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"University of New South wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5049961437"],"corresponding_institution_ids":["https://openalex.org/I31746571"],"apc_list":null,"apc_paid":null,"fwci":2.296,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.89239306,"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":"1871","last_page":"1878"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":1.0,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":1.0,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.989300012588501,"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":0.9865999817848206,"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/reinforcement-learning","display_name":"Reinforcement learning","score":0.8607754707336426},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.8039476871490479},{"id":"https://openalex.org/keywords/learning-classifier-system","display_name":"Learning classifier system","score":0.7976291179656982},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.768958568572998},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6366800665855408},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5214269161224365},{"id":"https://openalex.org/keywords/reinforcement","display_name":"Reinforcement","score":0.46277013421058655},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08771806955337524}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8607754707336426},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.8039476871490479},{"id":"https://openalex.org/C199190896","wikidata":"https://www.wikidata.org/wiki/Q3509276","display_name":"Learning classifier system","level":3,"score":0.7976291179656982},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.768958568572998},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6366800665855408},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5214269161224365},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.46277013421058655},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08771806955337524},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1830761.1830819","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1830761.1830819","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th annual conference companion on Genetic and evolutionary computation","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":45,"referenced_works":["https://openalex.org/W32403112","https://openalex.org/W190718632","https://openalex.org/W192142699","https://openalex.org/W1489651825","https://openalex.org/W1497256448","https://openalex.org/W1501437533","https://openalex.org/W1501834514","https://openalex.org/W1515851193","https://openalex.org/W1526482272","https://openalex.org/W1571728100","https://openalex.org/W1706881574","https://openalex.org/W1708874574","https://openalex.org/W1928882148","https://openalex.org/W1966012748","https://openalex.org/W1989101984","https://openalex.org/W1996833561","https://openalex.org/W1999128321","https://openalex.org/W2027731726","https://openalex.org/W2031594824","https://openalex.org/W2084028892","https://openalex.org/W2096651949","https://openalex.org/W2100677568","https://openalex.org/W2103483792","https://openalex.org/W2116859080","https://openalex.org/W2118788523","https://openalex.org/W2120445732","https://openalex.org/W2121863487","https://openalex.org/W2136518234","https://openalex.org/W2137997858","https://openalex.org/W2154808242","https://openalex.org/W2157838568","https://openalex.org/W2158274534","https://openalex.org/W2160873029","https://openalex.org/W2169200398","https://openalex.org/W2286297822","https://openalex.org/W2339153059","https://openalex.org/W2515246271","https://openalex.org/W2895774836","https://openalex.org/W2912511962","https://openalex.org/W4237416289","https://openalex.org/W6629355215","https://openalex.org/W6630005829","https://openalex.org/W6637416134","https://openalex.org/W6637636544","https://openalex.org/W6828362187"],"related_works":["https://openalex.org/W1966456942","https://openalex.org/W2754028433","https://openalex.org/W3148138296","https://openalex.org/W1882507001","https://openalex.org/W2367922714","https://openalex.org/W1986508893","https://openalex.org/W2352650970","https://openalex.org/W2534140487","https://openalex.org/W4383501708","https://openalex.org/W2130711276"],"abstract_inverted_index":{"Learning":[0],"Classifier":[1],"Systems":[2],"are":[3],"reinforcement-based":[4],"learning":[5,23,68,115],"systems":[6,34],"that":[7,63,135],"allow":[8,16],"the":[9,108],"development":[10],"of":[11,33,43,58,72,76,86,127],"generalised":[12],"rule":[13],"sets.":[14],"They":[15],"a":[17,31,65,83,125],"balance":[18,71],"between":[19],"higher":[20],"level":[21],"generalisable":[22],"and":[24,26,74,98,132,142],"reinforcement,":[25],"have":[27,124,136],"been":[28],"used":[29,121],"in":[30,60,92],"number":[32,85,126],"to":[35,40],"introduce":[36],"principles":[37],"from":[38],"psychology":[39],"guide":[41],"methods":[42,120],"learning.":[44],"A":[45],"classifier":[46,96],"system":[47,79],"based":[48,55,81],"on":[49,56,82,107],"Activation":[50],"Reinforcement":[51],"(ARCS)":[52],"is":[53,80,89],"described,":[54],"accessibility":[57],"traces":[59],"semantic":[61],"memory,":[62],"provides":[64],"strength":[66],"related":[67],"technique":[69],"allowing":[70,116],"generalisation":[73,140],"specialisation":[75],"rules.":[77],"The":[78,119],"minimal":[84],"design":[87,93],"principles,":[88],"arguably":[90],"simpler":[91],"than":[94],"existing":[95,130],"systems,":[97],"has":[99],"clearer":[100],"connections":[101],"with":[102,129],"human":[103],"cognitive":[104],"models.":[105],"Performance":[106],"standard":[109],"Woods":[110],"environments":[111],"shows":[112],"fast,":[113],"stable":[114],"near-optimal":[117],"behaviour.":[118],"by":[122],"ARCS":[123],"differences":[128],"ZCS":[131],"XCS":[133],"approaches,":[134],"potential":[137],"advantages":[138],"regarding":[139],"techniques,":[141],"for":[143],"addressing":[144],"sparsely":[145],"rewarded":[146],"domains":[147]},"counts_by_year":[{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
