{"id":"https://openalex.org/W4401214550","doi":"https://doi.org/10.1145/3638530.3664157","title":"Learning Classifier Systems as a Solver for the Abstraction and Reasoning Corpus","display_name":"Learning Classifier Systems as a Solver for the Abstraction and Reasoning Corpus","publication_year":2024,"publication_date":"2024-07-14","ids":{"openalex":"https://openalex.org/W4401214550","doi":"https://doi.org/10.1145/3638530.3664157"},"language":"en","primary_location":{"id":"doi:10.1145/3638530.3664157","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3638530.3664157","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3638530.3664157?download=true","source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3638530.3664157?download=true","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055578416","display_name":"Cameron Coombe","orcid":"https://orcid.org/0000-0002-2147-9255"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Cameron Coombe","raw_affiliation_strings":["CSIRO Data61, Brisbane, Australia","Queensland University of Technology, Brisbane, Australia"],"raw_orcid":"https://orcid.org/0009-0009-2986-472X","affiliations":[{"raw_affiliation_string":"CSIRO Data61, Brisbane, Australia","institution_ids":["https://openalex.org/I1292875679","https://openalex.org/I42894916"]},{"raw_affiliation_string":"Queensland University of Technology, Brisbane, Australia","institution_ids":["https://openalex.org/I160993911"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068183098","display_name":"David Howard","orcid":"https://orcid.org/0000-0002-5012-7224"},"institutions":[{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"David Howard","raw_affiliation_strings":["CSIRO Data61, Brisbane, Australia"],"raw_orcid":"https://orcid.org/0000-0002-5012-7224","affiliations":[{"raw_affiliation_string":"CSIRO Data61, Brisbane, Australia","institution_ids":["https://openalex.org/I1292875679","https://openalex.org/I42894916"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065533636","display_name":"Will N. Browne","orcid":"https://orcid.org/0000-0001-8979-2224"},"institutions":[{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Will Browne","raw_affiliation_strings":["Queensland University of Technology, Brisbane, Australia"],"raw_orcid":"https://orcid.org/0000-0001-8979-2224","affiliations":[{"raw_affiliation_string":"Queensland University of Technology, Brisbane, Australia","institution_ids":["https://openalex.org/I160993911"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0668,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.77938311,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1770","last_page":"1778"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9835000038146973,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.9539999961853027,"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/computer-science","display_name":"Computer science","score":0.7722251415252686},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.6763923764228821},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6453962922096252},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6311472654342651},{"id":"https://openalex.org/keywords/problem-solver","display_name":"Problem solver","score":0.5212900638580322},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.46820786595344543},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4312543570995331},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.42102473974227905},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.3343876004219055},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.14297592639923096}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7722251415252686},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.6763923764228821},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6453962922096252},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6311472654342651},{"id":"https://openalex.org/C3019612716","wikidata":"https://www.wikidata.org/wiki/Q730920","display_name":"Problem solver","level":2,"score":0.5212900638580322},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.46820786595344543},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4312543570995331},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.42102473974227905},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.3343876004219055},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.14297592639923096},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3638530.3664157","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3638530.3664157","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3638530.3664157?download=true","source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3638530.3664157","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3638530.3664157","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3638530.3664157?download=true","source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4401214550.pdf"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W1876634630","https://openalex.org/W1977949399","https://openalex.org/W2063853577","https://openalex.org/W2557422176","https://openalex.org/W2746353786","https://openalex.org/W3208277008","https://openalex.org/W4225096539","https://openalex.org/W4283836574","https://openalex.org/W4315588707","https://openalex.org/W4318718978","https://openalex.org/W4323651291","https://openalex.org/W4379087345","https://openalex.org/W4380993132","https://openalex.org/W4382239581","https://openalex.org/W4387559744","https://openalex.org/W4387636004","https://openalex.org/W4388716366","https://openalex.org/W4390041221"],"related_works":["https://openalex.org/W2011621332","https://openalex.org/W1605093979","https://openalex.org/W2152572054","https://openalex.org/W2920969592","https://openalex.org/W2074269745","https://openalex.org/W2568362682","https://openalex.org/W1836984851","https://openalex.org/W4235638484","https://openalex.org/W2990609819","https://openalex.org/W4296118853"],"abstract_inverted_index":{"The":[0],"abstraction":[1],"and":[2,75],"reasoning":[3],"corpus":[4],"(ARC)":[5],"is":[6,153],"a":[7,20,100,105,158],"challenging":[8],"AI":[9],"benchmark":[10],"as":[11],"it":[12,33,142],"requires":[13],"models":[14,36],"to":[15,60,69,77,91,137,144,154,175,185],"learn":[16],"unseen":[17],"relationships":[18],"from":[19],"few":[21],"data":[22,87],"points.":[23],"Each":[24],"puzzle":[25],"only":[26,155],"contains":[27],"2--5":[28],"training":[29,39,48,120],"examples,":[30],"which":[31,44,122,152],"makes":[32],"hard":[34],"for":[35],"that":[37,82],"require":[38,47],"on":[40,49,85,157,166],"large":[41,50],"datasets.":[42],"Models":[43],"do":[45],"not":[46],"datasets":[51],"like":[52],"learning":[53],"classifier":[54],"systems":[55],"(LCSs)":[56],"have":[57,88],"the":[58,118,131,145],"potential":[59],"solve":[61],"this":[62,139,168],"kind":[63],"of":[64,112,148,161,182,190],"complex,":[65],"low-data":[66],"problem":[67],"due":[68],"their":[70],"flexible":[71],"representation,":[72],"niche-based":[73],"learning,":[74],"ability":[76,184],"generalise.":[78],"Whilst":[79],"some":[80],"learners":[81],"can":[83],"operate":[84],"low":[86],"been":[89],"applied":[90],"ARC,":[92],"LCS-based":[93],"architectures":[94],"remain":[95],"entirely":[96],"unexplored.":[97],"We":[98,163],"propose":[99],"simple":[101],"LCS":[102],"architecture":[103,109],"employing":[104],"windowing":[106],"approach.":[107],"This":[108],"solves":[110],"19":[111],"400":[113],"test":[114],"grids":[115],"(4.75%)":[116],"in":[117],"ARC":[119,150],"set,":[121],"shows":[123],"promise":[124],"by":[125],"outperforming":[126],"other":[127],"na\u00efve":[128],"approaches.":[129],"Additionally,":[130],"system":[132],"uses":[133],"minimal":[134],"prior":[135],"knowledge":[136],"achieve":[138],"result,":[140],"bringing":[141],"closer":[143],"original":[146],"vision":[147],"an":[149],"solver,":[151],"rely":[156],"core":[159],"set":[160],"concepts.":[162],"provide":[164],"directions":[165],"how":[167],"basic":[169],"model":[170],"could":[171],"be":[172],"expanded":[173],"upon":[174],"include":[176],"more":[177],"complex":[178],"structures":[179],"making":[180],"use":[181],"LCSs'":[183],"integrate":[186],"many":[187],"diverse":[188],"kinds":[189],"representations.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
