{"id":"https://openalex.org/W3111966849","doi":"https://doi.org/10.1109/icdl-epirob48136.2020.9278100","title":"High-level representations through unconstrained sensorimotor learning","display_name":"High-level representations through unconstrained sensorimotor learning","publication_year":2020,"publication_date":"2020-10-26","ids":{"openalex":"https://openalex.org/W3111966849","doi":"https://doi.org/10.1109/icdl-epirob48136.2020.9278100","mag":"3111966849"},"language":"en","primary_location":{"id":"doi:10.1109/icdl-epirob48136.2020.9278100","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdl-epirob48136.2020.9278100","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Joint IEEE 10th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob)","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/A5016558120","display_name":"Ozgur Baran Ozturkcu","orcid":null},"institutions":[{"id":"https://openalex.org/I44925452","display_name":"\u00d6zye\u011fin University","ror":"https://ror.org/01jjhfr75","country_code":"TR","type":"education","lineage":["https://openalex.org/I44925452"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Ozgur Baran Ozturkcu","raw_affiliation_strings":["Computer Science Department, Ozyegin University, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Computer Science Department, Ozyegin University, Istanbul, Turkey","institution_ids":["https://openalex.org/I44925452"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048165304","display_name":"Emre U\u011fur","orcid":"https://orcid.org/0000-0001-9597-2731"},"institutions":[{"id":"https://openalex.org/I4405392","display_name":"Bo\u011fazi\u00e7i University","ror":"https://ror.org/03z9tma90","country_code":"TR","type":"education","lineage":["https://openalex.org/I4405392"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Emre Ugur","raw_affiliation_strings":["Department of Computer Engineering, Bogazici University, Istanbul, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Bogazici University, Istanbul, Turkey","institution_ids":["https://openalex.org/I4405392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018729334","display_name":"Erhan \u00d6ztop","orcid":"https://orcid.org/0000-0002-3051-6038"},"institutions":[{"id":"https://openalex.org/I98285908","display_name":"Osaka University","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Erhan Oztop","raw_affiliation_strings":["Osaka University, Osaka, Japan"],"affiliations":[{"raw_affiliation_string":"Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5016558120"],"corresponding_institution_ids":["https://openalex.org/I44925452"],"apc_list":null,"apc_paid":null,"fwci":0.3977,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69914994,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"70","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9984999895095825,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.9944999814033508,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/symbol","display_name":"Symbol (formal)","score":0.852737545967102},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7327130436897278},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6791396141052246},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6132239103317261},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5963029861450195},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5458441972732544},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.5374653339385986},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.437372624874115},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.0654674768447876}],"concepts":[{"id":"https://openalex.org/C134400042","wikidata":"https://www.wikidata.org/wiki/Q2372244","display_name":"Symbol (formal)","level":2,"score":0.852737545967102},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7327130436897278},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6791396141052246},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6132239103317261},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5963029861450195},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5458441972732544},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.5374653339385986},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.437372624874115},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0654674768447876},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icdl-epirob48136.2020.9278100","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdl-epirob48136.2020.9278100","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Joint IEEE 10th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob)","raw_type":"proceedings-article"},{"id":"pmh:oai:eresearch.ozyegin.edu.tr:10679/7383","is_oa":false,"landing_page_url":"http://hdl.handle.net/10679/7383","pdf_url":null,"source":{"id":"https://openalex.org/S4306400232","display_name":"ECS Journal of Solid State Science and Technology (The Electrochemical Society)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2802273670","host_organization_name":"Electrochemical Society","host_organization_lineage":["https://openalex.org/I2802273670"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7900000214576721,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1506047933","https://openalex.org/W1556824961","https://openalex.org/W1585610988","https://openalex.org/W1592847719","https://openalex.org/W1968079292","https://openalex.org/W1998890282","https://openalex.org/W2034236093","https://openalex.org/W2109910161","https://openalex.org/W2202410222","https://openalex.org/W2203521679","https://openalex.org/W2211996086","https://openalex.org/W2222874733","https://openalex.org/W2509431599","https://openalex.org/W2608020507","https://openalex.org/W2672620555","https://openalex.org/W2741442067","https://openalex.org/W2787066086","https://openalex.org/W2963475757","https://openalex.org/W2964043796","https://openalex.org/W2964227312","https://openalex.org/W3029724036","https://openalex.org/W6635035540","https://openalex.org/W6687819598","https://openalex.org/W6688576433","https://openalex.org/W6692846177","https://openalex.org/W6727349600","https://openalex.org/W6742129847"],"related_works":["https://openalex.org/W2389793738","https://openalex.org/W2376208682","https://openalex.org/W2924107927","https://openalex.org/W2368886944","https://openalex.org/W4390358280","https://openalex.org/W2611966483","https://openalex.org/W4240806619","https://openalex.org/W3197254630","https://openalex.org/W4298392790","https://openalex.org/W4206571514"],"abstract_inverted_index":{"How":[0],"the":[1,25,35,55,85,133],"sensorimotor":[2,45],"experience":[3],"of":[4,37,57,87,97,135],"an":[5,21],"agent":[6],"can":[7],"be":[8,93,102],"organized":[9],"into":[10],"abstract":[11,136],"symbol-like":[12,58,137],"structures":[13],"to":[14,53,122],"enable":[15],"effective":[16],"planning":[17],"and":[18,40,112],"control":[19,111],"is":[20],"open":[22],"question.":[23],"In":[24,67],"literature,":[26],"there":[27],"are":[28,48],"many":[29],"studies":[30],"that":[31,51,78,91,117,129],"start":[32],"by":[33,60,104],"assuming":[34],"existence":[36],"some":[38],"symbols":[39],"`ground'":[41],"those":[42],"onto":[43],"continuous":[44],"signals.":[46],"There":[47],"also":[49],"works":[50],"aim":[52],"facilitate":[54,84],"emergence":[56],"representations":[59,90],"using":[61],"specially":[62],"designed":[63],"machine":[64],"learning":[65,76],"architectures.":[66],"this":[68],"paper,":[69],"we":[70],"investigate":[71],"whether":[72],"a":[73,80],"deep":[74],"reinforcement":[75],"system":[77],"learns":[79],"dynamic":[81],"task":[82],"would":[83],"formation":[86],"high-level":[88],"neural":[89,107,126],"might":[92],"considered":[94],"as":[95,132],"precursors":[96],"symbolic":[98],"representation,":[99],"which":[100],"could":[101],"exploited":[103],"higher":[105],"level":[106],"circuits":[108],"for":[109],"better":[110],"planning.":[113],"The":[114],"results":[115],"indicate":[116],"without":[118],"even":[119],"explicit":[120],"design":[121],"promote":[123],"such":[124],"representations,":[125],"responses":[127],"emerge":[128],"may":[130],"serve":[131],"basis":[134],"representations.":[138]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}