{"id":"https://openalex.org/W2080407498","doi":"https://doi.org/10.1108/17563780911005854","title":"Adaptive swarm behavior acquisition by a neuro\u2010fuzzy system and reinforcement learning algorithm","display_name":"Adaptive swarm behavior acquisition by a neuro\u2010fuzzy system and reinforcement learning algorithm","publication_year":2009,"publication_date":"2009-11-14","ids":{"openalex":"https://openalex.org/W2080407498","doi":"https://doi.org/10.1108/17563780911005854","mag":"2080407498"},"language":"en","primary_location":{"id":"doi:10.1108/17563780911005854","is_oa":false,"landing_page_url":"https://doi.org/10.1108/17563780911005854","pdf_url":null,"source":{"id":"https://openalex.org/S124503262","display_name":"International Journal of Intelligent Computing and Cybernetics","issn_l":"1756-378X","issn":["1756-378X","1756-3798"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Computing and Cybernetics","raw_type":"journal-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/A5034551675","display_name":"Takashi Kuremoto","orcid":"https://orcid.org/0000-0003-2717-2008"},"institutions":[{"id":"https://openalex.org/I173915773","display_name":"Yamaguchi University","ror":"https://ror.org/03cxys317","country_code":"JP","type":"education","lineage":["https://openalex.org/I173915773"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takashi Kuremoto","raw_affiliation_strings":["Graduate School of Science and Engineering, Yamaguchi University, Ube, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Yamaguchi University, Ube, Japan","institution_ids":["https://openalex.org/I173915773"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108608102","display_name":"Masanao Obayashi","orcid":null},"institutions":[{"id":"https://openalex.org/I173915773","display_name":"Yamaguchi University","ror":"https://ror.org/03cxys317","country_code":"JP","type":"education","lineage":["https://openalex.org/I173915773"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masanao Obayashi","raw_affiliation_strings":["Graduate School of Science and Engineering, Yamaguchi University, Ube, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Yamaguchi University, Ube, Japan","institution_ids":["https://openalex.org/I173915773"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112406082","display_name":"Kunikazu Kobayashi","orcid":null},"institutions":[{"id":"https://openalex.org/I173915773","display_name":"Yamaguchi University","ror":"https://ror.org/03cxys317","country_code":"JP","type":"education","lineage":["https://openalex.org/I173915773"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kunikazu Kobayashi","raw_affiliation_strings":["Graduate School of Science and Engineering, Yamaguchi University, Ube, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Science and Engineering, Yamaguchi University, Ube, Japan","institution_ids":["https://openalex.org/I173915773"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I173915773"],"apc_list":null,"apc_paid":null,"fwci":3.1711,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.92163874,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2","issue":"4","first_page":"724","last_page":"744"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9990000128746033,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9990000128746033,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.991100013256073,"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":0.9907000064849854,"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":0.7558684349060059},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6789895296096802},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6091827154159546},{"id":"https://openalex.org/keywords/swarm-behaviour","display_name":"Swarm behaviour","score":0.5810667872428894},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5773680806159973},{"id":"https://openalex.org/keywords/neuro-fuzzy","display_name":"Neuro-fuzzy","score":0.45883482694625854},{"id":"https://openalex.org/keywords/action-selection","display_name":"Action selection","score":0.4460603892803192},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.4179302155971527},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38683244585990906},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.30637261271476746}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7558684349060059},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6789895296096802},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6091827154159546},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.5810667872428894},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5773680806159973},{"id":"https://openalex.org/C29470771","wikidata":"https://www.wikidata.org/wiki/Q4165150","display_name":"Neuro-fuzzy","level":4,"score":0.45883482694625854},{"id":"https://openalex.org/C166109690","wikidata":"https://www.wikidata.org/wiki/Q4677422","display_name":"Action selection","level":3,"score":0.4460603892803192},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.4179302155971527},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38683244585990906},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.30637261271476746},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","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:10.1108/17563780911005854","is_oa":false,"landing_page_url":"https://doi.org/10.1108/17563780911005854","pdf_url":null,"source":{"id":"https://openalex.org/S124503262","display_name":"International Journal of Intelligent Computing and Cybernetics","issn_l":"1756-378X","issn":["1756-378X","1756-3798"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Computing and Cybernetics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1497201122","https://openalex.org/W1507639627","https://openalex.org/W1534844487","https://openalex.org/W1783866091","https://openalex.org/W1825285576","https://openalex.org/W2023916418","https://openalex.org/W2070619758","https://openalex.org/W2096767749","https://openalex.org/W2107726111","https://openalex.org/W2107941094","https://openalex.org/W2109059823","https://openalex.org/W2117726420","https://openalex.org/W2121863487","https://openalex.org/W2126521188","https://openalex.org/W2136748963","https://openalex.org/W2144801703","https://openalex.org/W2145572584","https://openalex.org/W2152195021","https://openalex.org/W2161563886","https://openalex.org/W2171211995","https://openalex.org/W2173819200","https://openalex.org/W2305205647","https://openalex.org/W2320710410","https://openalex.org/W2615688110","https://openalex.org/W4214717370"],"related_works":["https://openalex.org/W2015051472","https://openalex.org/W2168501056","https://openalex.org/W2120009678","https://openalex.org/W2912947802","https://openalex.org/W2037601570","https://openalex.org/W2123856982","https://openalex.org/W1530089576","https://openalex.org/W3207109968","https://openalex.org/W2133615482","https://openalex.org/W829773823"],"abstract_inverted_index":{"Purpose":[0],"The":[1,23,56,89,124,151,250],"purpose":[2],"of":[3,58,85,92,98,109,118,141,148,153,163,170,189,221,240],"this":[4],"paper":[5],"is":[6,26,61],"to":[7,179,256],"present":[8],"a":[9,13,77,96,103,107,116,167],"neuro\u2010fuzzy":[10],"system":[11,192,230],"with":[12,82,193],"reinforcement":[14],"learning":[15,39,70,112,216],"algorithm":[16],"(RL)":[17],"for":[18,243],"adaptive":[19,43,247],"swarm":[20,60,215,244,259],"behaviors":[21,44],"acquisition.":[22,249],"basic":[24],"idea":[25],"that":[27,204],"each":[28,93],"individual":[29,86,94,222],"(agent)":[30],"has":[31],"the":[32,37,42,49,54,59,83,131,139,146,156,160,190,201,219,241],"same":[33,38],"internal":[34,90,238],"model":[35,91,239,252],"and":[36,41,72,106,127,159,173,200,209,231,246,263],"procedure,":[40],"are":[45,134,182,198,206,212,234],"acquired":[46],"only":[47],"by":[48,64,102,138,184,214],"reward":[50],"or":[51],"punishment":[52],"from":[53],"environment.":[55],"formation":[57,245],"also":[62],"designed":[63],"RL,":[65],"e.g.":[66],"temporal":[67],"difference":[68],"(TD)\u2010error":[69],"algorithm,":[71,233],"it":[73],"may":[74,253],"bring":[75],"out":[76],"faster":[78,217],"exploration":[79],"procedure":[80],"comparing":[81],"case":[84,220],"learning.":[87,223],"Design/methodology/approach":[88],"composes":[95],"part":[97,108],"input":[99],"states":[100,143],"classification":[101],"fuzzy":[104,128,132,157,228],"net,":[105],"optimal":[110],"behavior":[111,248],"network":[113],"which":[114,165,175],"adopting":[115],"kind":[117],"RL":[119,232],"methodology":[120],"named":[121],"actor\u2010critic":[122],"method.":[123],"membership":[125],"functions":[126,162],"rules":[129],"in":[130,145],"net":[133,158],"adaptively":[135],"formed":[136,208],"online":[137],"change":[140],"environment":[142],"observed":[144],"trials":[147],"agent's":[149],"behaviors.":[150],"weights":[152],"connections":[154],"between":[155],"action\u2010value":[161],"actor":[164],"provides":[166,176],"stochastic":[168],"policy":[169],"action":[171],"selection,":[172],"critic":[174],"an":[177,237],"evaluation":[178],"state":[180],"transmission,":[181],"modified":[183],"TD\u2010error.":[185],"Findings":[186],"Simulation":[187],"experiments":[188],"proposed":[191,251],"several":[194],"goal\u2010directed":[195],"navigation":[196],"problems":[197],"accomplished":[199],"results":[202],"show":[203],"swarms":[205],"successfully":[207],"optimized":[210],"routes":[211],"found":[213],"than":[218],"Originality/value":[224],"Two":[225],"techniques,":[226],"i.e.":[227],"identification":[229],"fused":[235],"into":[236],"individuals":[242],"be":[254],"applied":[255],"multi\u2010agent":[257],"systems,":[258],"robotics,":[260],"metaheuristic":[261],"optimization,":[262],"so":[264],"on.":[265]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
