{"id":"https://openalex.org/W4401214191","doi":"https://doi.org/10.1145/3638530.3654110","title":"Cognitive Learning System for Sequential Aliasing Patterns of States in Multistep Decision-Making","display_name":"Cognitive Learning System for Sequential Aliasing Patterns of States in Multistep Decision-Making","publication_year":2024,"publication_date":"2024-07-14","ids":{"openalex":"https://openalex.org/W4401214191","doi":"https://doi.org/10.1145/3638530.3654110"},"language":"en","primary_location":{"id":"doi:10.1145/3638530.3654110","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3638530.3654110","pdf_url":null,"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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037814625","display_name":"Fumito Uwano","orcid":"https://orcid.org/0000-0003-4139-2605"},"institutions":[{"id":"https://openalex.org/I163770644","display_name":"Okayama University","ror":"https://ror.org/02pc6pc55","country_code":"JP","type":"education","lineage":["https://openalex.org/I163770644"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Fumito Uwano","raw_affiliation_strings":["Okayama University, Okayama, Japan"],"raw_orcid":"https://orcid.org/0000-0003-4139-2605","affiliations":[{"raw_affiliation_string":"Okayama University, Okayama, Japan","institution_ids":["https://openalex.org/I163770644"]}]},{"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 Neil 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":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7112,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.68948109,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"315","last_page":"318"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.998199999332428,"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":0.998199999332428,"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/T10320","display_name":"Neural Networks and Applications","score":0.9609000086784363,"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":0.9442999958992004,"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":0.7059764862060547},{"id":"https://openalex.org/keywords/aliasing","display_name":"Aliasing","score":0.6635258793830872},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.6049866080284119},{"id":"https://openalex.org/keywords/cognitive-systems","display_name":"Cognitive systems","score":0.47883132100105286},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45454925298690796},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3569994568824768},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.17284312844276428}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7059764862060547},{"id":"https://openalex.org/C4069607","wikidata":"https://www.wikidata.org/wiki/Q868732","display_name":"Aliasing","level":3,"score":0.6635258793830872},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.6049866080284119},{"id":"https://openalex.org/C2986342778","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Cognitive systems","level":3,"score":0.47883132100105286},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45454925298690796},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3569994568824768},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.17284312844276428},{"id":"https://openalex.org/C136536468","wikidata":"https://www.wikidata.org/wiki/Q1225894","display_name":"Undersampling","level":2,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3638530.3654110","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3638530.3654110","pdf_url":null,"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":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7099999785423279}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W38941809","https://openalex.org/W83387188","https://openalex.org/W1539216098","https://openalex.org/W1612687168","https://openalex.org/W1966012748","https://openalex.org/W2000659199","https://openalex.org/W2030844372","https://openalex.org/W3046348628","https://openalex.org/W3046405323","https://openalex.org/W3192570781","https://openalex.org/W4230724467","https://openalex.org/W4385188519"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Perceptual":[0],"aliasing":[1,77,103,142],"is":[2,68],"a":[3,7,44,88,94],"cognitive":[4,96],"problem":[5],"for":[6,130],"learning":[8,97],"agent":[9],"where":[10,81],"the":[11,32,37,72,82,115,124,145],"robot":[12],"cannot":[13],"distinguish":[14],"its":[15,18,149],"state":[16],"via":[17],"immediate":[19],"observations,":[20],"leading":[21],"to":[22,35,49,70,99,120],"poor":[23],"decision-making.":[24],"Previous":[25],"work":[26,92],"addresses":[27],"this":[28],"issue":[29],"by":[30,107,151],"storing":[31],"agent's":[33],"path":[34,48],"learn":[36,57],"optimal":[38,58],"policy.":[39],"In":[40],"particular,":[41],"FoRsXCS":[42],"utilises":[43],"fundamental":[45],"and":[46,51,56,133],"unique":[47],"identify":[50,71,100],"disambiguate":[52],"all":[53],"aliased":[54,64,73,83],"states":[55,74,80,84,106],"policies":[59],"in":[60,75,127,138],"an":[61],"environment":[62],"with":[63,140,155],"states.":[65],"However,":[66],"it":[67],"hard":[69],"sequential":[76,102,141],"patterns":[78,104],"of":[79,105],"occur":[85],"sequentially":[86],"within":[87],"regular":[89],"pattern.":[90],"This":[91],"proposes":[93],"new":[95],"system":[98,117],"such":[101],"extending":[108],"FoRsXCS.":[109,156],"The":[110],"experimental":[111],"results":[112],"show":[113],"that":[114],"proposed":[116,146],"performs":[118],"equal":[119],"or":[121],"greater":[122],"than":[123],"existing":[125,136],"systems":[126],"nine":[128],"mazes":[129,139],"navigation":[131],"tasks":[132],"significantly":[134],"outperforms":[135],"techniques":[137],"patterns.":[143],"Concretely,":[144],"method":[147],"improves":[148],"performance":[150],"0.48":[152],"steps":[153],"compared":[154]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}