{"id":"https://openalex.org/W2056179638","doi":"https://doi.org/10.1145/1569901.1570059","title":"Learning sensorimotor control structures with XCSF","display_name":"Learning sensorimotor control structures with XCSF","publication_year":2009,"publication_date":"2009-07-08","ids":{"openalex":"https://openalex.org/W2056179638","doi":"https://doi.org/10.1145/1569901.1570059","mag":"2056179638"},"language":"en","primary_location":{"id":"doi:10.1145/1569901.1570059","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1569901.1570059","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th Annual conference 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/A5075919503","display_name":"Martin V. Butz","orcid":"https://orcid.org/0000-0002-8120-8537"},"institutions":[{"id":"https://openalex.org/I25974101","display_name":"University of W\u00fcrzburg","ror":"https://ror.org/00fbnyb24","country_code":"DE","type":"education","lineage":["https://openalex.org/I25974101"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Martin V. Butz","raw_affiliation_strings":["University of W\u00fcrzburg, W\u00fcrzburg, Germany"],"affiliations":[{"raw_affiliation_string":"University of W\u00fcrzburg, W\u00fcrzburg, Germany","institution_ids":["https://openalex.org/I25974101"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110452514","display_name":"Gerulf K.M. Pedersen","orcid":null},"institutions":[{"id":"https://openalex.org/I25974101","display_name":"University of W\u00fcrzburg","ror":"https://ror.org/00fbnyb24","country_code":"DE","type":"education","lineage":["https://openalex.org/I25974101"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gerulf K.M. Pedersen","raw_affiliation_strings":["University of W\u00fcrzburg, W\u00fcrzburg, Germany"],"affiliations":[{"raw_affiliation_string":"University of W\u00fcrzburg, W\u00fcrzburg, Germany","institution_ids":["https://openalex.org/I25974101"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047963318","display_name":"Patrick Stalph","orcid":null},"institutions":[{"id":"https://openalex.org/I25974101","display_name":"University of W\u00fcrzburg","ror":"https://ror.org/00fbnyb24","country_code":"DE","type":"education","lineage":["https://openalex.org/I25974101"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Patrick O. Stalph","raw_affiliation_strings":["University of W\u00fcrzburg, W\u00fcrzburg, Germany"],"affiliations":[{"raw_affiliation_string":"University of W\u00fcrzburg, W\u00fcrzburg, Germany","institution_ids":["https://openalex.org/I25974101"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5075919503"],"corresponding_institution_ids":["https://openalex.org/I25974101"],"apc_list":null,"apc_paid":null,"fwci":5.6703,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.95887413,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1171","last_page":"1178"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9898999929428101,"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":0.98580002784729,"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/robotic-arm","display_name":"Robotic arm","score":0.7397996187210083},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6444545984268188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5781849026679993},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.5468322038650513},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.543297529220581},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5413818359375},{"id":"https://openalex.org/keywords/robotics","display_name":"Robotics","score":0.5394222736358643},{"id":"https://openalex.org/keywords/control-system","display_name":"Control system","score":0.5064362287521362},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.45914480090141296},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.4472962021827698},{"id":"https://openalex.org/keywords/motor-control","display_name":"Motor control","score":0.43903648853302},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.3693930506706238},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3218081295490265},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15762516856193542}],"concepts":[{"id":"https://openalex.org/C150415221","wikidata":"https://www.wikidata.org/wiki/Q40687","display_name":"Robotic arm","level":2,"score":0.7397996187210083},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6444545984268188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5781849026679993},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.5468322038650513},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.543297529220581},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5413818359375},{"id":"https://openalex.org/C34413123","wikidata":"https://www.wikidata.org/wiki/Q170978","display_name":"Robotics","level":3,"score":0.5394222736358643},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.5064362287521362},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.45914480090141296},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.4472962021827698},{"id":"https://openalex.org/C137813230","wikidata":"https://www.wikidata.org/wiki/Q2996165","display_name":"Motor control","level":2,"score":0.43903648853302},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.3693930506706238},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3218081295490265},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15762516856193542},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"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:10.1145/1569901.1570059","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1569901.1570059","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th Annual conference on Genetic and evolutionary computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6600000262260437}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W65153156","https://openalex.org/W584125963","https://openalex.org/W1544439962","https://openalex.org/W1589018387","https://openalex.org/W1591645366","https://openalex.org/W1989101984","https://openalex.org/W1993254737","https://openalex.org/W2014989578","https://openalex.org/W2045417194","https://openalex.org/W2084028892","https://openalex.org/W2090112990","https://openalex.org/W2092963446","https://openalex.org/W2114143507","https://openalex.org/W2137261852","https://openalex.org/W2137558286","https://openalex.org/W2623785075","https://openalex.org/W6632811028"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"XCS":[0],"has":[1],"been":[2],"shown":[3],"to":[4,42,53,71,79,139,157],"be":[5,68],"an":[6],"effective":[7],"genetics-based":[8],"classification,":[9],"datamining,":[10],"and":[11,28,39,77,98,123,156],"reinforcement":[12],"learning":[13],"tool.":[14],"The":[15,87],"systems":[16,30],"learns":[17],"suitable,":[18],"compact,":[19],"maximally":[20],"general":[21],"problem":[22],"solutions":[23],"online.":[24],"In":[25,57],"the":[26,81,100,113,120,136,140,161],"robotics":[27],"cognitive":[29,54],"domains,":[31],"however,":[32],"applications":[33],"of":[34,83,142,150,160],"XCSF":[35,49,88],"are":[36],"very":[37],"sparse":[38],"mostly":[40],"restricted":[41],"small,":[43],"symbolic":[44],"problems.":[45],"Recently,":[46],"a":[47,143,153,158],"sensorimotor":[48],"system":[50,89,138],"was":[51],"applied":[52],"arm":[55,85,108,132,146,165],"control.":[56,133],"this":[58,63],"paper,":[59],"we":[60],"show":[61],"how":[62],"XCSF-based":[64,121],"armcontrol":[65],"mechanisms":[66],"can":[67],"extended":[69],"(1)":[70],"efficiently":[72],"exploit":[73],"redundant":[74,91],"behavioral":[75],"alternatives":[76,92],"(2)":[78],"guide":[80],"control":[82,96,141],"dynamic":[84,131],"plants.":[86],"encodes":[90],"in":[93,152],"its":[94],"inverse":[95],"representations":[97],"resolves":[99],"encoded":[101],"redundancies":[102],"dependent":[103],"on":[104,112],"current":[105],"constraints--such":[106],"as":[107],"posture":[109],"preferences":[110],"-":[111],"fly.":[114],"An":[115],"adaptive":[116],"PD":[117],"controller":[118],"translates":[119],"direction":[122],"distance":[124],"commands":[125,129],"into":[126],"actual":[127],"motor":[128],"for":[130],"We":[134],"apply":[135],"complete":[137],"simulated,":[144],"physical":[145],"with":[147,166],"three":[148],"degrees":[149],"freedom":[151],"two-dimensional":[154],"environment":[155],"simulation":[159],"industrial":[162],"KR16":[163],"Kuka":[164],"ODE-based":[167],"physics":[168],"engine.":[169]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}