{"id":"https://openalex.org/W1977301325","doi":"https://doi.org/10.1145/2001576.2001782","title":"On the relationships between synaptic plasticity and generative systems","display_name":"On the relationships between synaptic plasticity and generative systems","publication_year":2011,"publication_date":"2011-07-12","ids":{"openalex":"https://openalex.org/W1977301325","doi":"https://doi.org/10.1145/2001576.2001782","mag":"1977301325"},"language":"en","primary_location":{"id":"doi:10.1145/2001576.2001782","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2001576.2001782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th annual conference on Genetic and evolutionary computation","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-00687621","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047886228","display_name":"Paul Tonelli","orcid":null},"institutions":[{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Paul Tonelli","raw_affiliation_strings":["ISIR, Universit\u00e9 Pierre et Marie Curie, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ISIR, Universit\u00e9 Pierre et Marie Curie, Paris, France","institution_ids":["https://openalex.org/I39804081"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032227198","display_name":"Jean-Baptiste Mouret","orcid":"https://orcid.org/0000-0002-2513-027X"},"institutions":[{"id":"https://openalex.org/I39804081","display_name":"Sorbonne Universit\u00e9","ror":"https://ror.org/02en5vm52","country_code":"FR","type":"education","lineage":["https://openalex.org/I39804081"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jean-Baptiste Mouret","raw_affiliation_strings":["ISIR, Universit\u00e9 Pierre et Marie Curie, Paris, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ISIR, Universit\u00e9 Pierre et Marie Curie, Paris, France","institution_ids":["https://openalex.org/I39804081"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I39804081"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1531","last_page":"1538"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9969000220298767,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/synaptic-plasticity","display_name":"Synaptic plasticity","score":0.6881774663925171},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6290191411972046},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6206159591674805},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5558609366416931},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5245178937911987},{"id":"https://openalex.org/keywords/transitive-relation","display_name":"Transitive relation","score":0.49009788036346436},{"id":"https://openalex.org/keywords/metaplasticity","display_name":"Metaplasticity","score":0.4897184669971466},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48969629406929016},{"id":"https://openalex.org/keywords/plasticity","display_name":"Plasticity","score":0.47300583124160767},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4447439908981323},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3330327868461609},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09387722611427307},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.07721403241157532}],"concepts":[{"id":"https://openalex.org/C98229152","wikidata":"https://www.wikidata.org/wiki/Q1551556","display_name":"Synaptic plasticity","level":3,"score":0.6881774663925171},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6290191411972046},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6206159591674805},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5558609366416931},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5245178937911987},{"id":"https://openalex.org/C191399111","wikidata":"https://www.wikidata.org/wiki/Q64861","display_name":"Transitive relation","level":2,"score":0.49009788036346436},{"id":"https://openalex.org/C194973443","wikidata":"https://www.wikidata.org/wiki/Q1420291","display_name":"Metaplasticity","level":4,"score":0.4897184669971466},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48969629406929016},{"id":"https://openalex.org/C79186407","wikidata":"https://www.wikidata.org/wiki/Q472074","display_name":"Plasticity","level":2,"score":0.47300583124160767},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4447439908981323},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3330327868461609},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09387722611427307},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07721403241157532},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C170493617","wikidata":"https://www.wikidata.org/wiki/Q208467","display_name":"Receptor","level":2,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2001576.2001782","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2001576.2001782","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th annual conference on Genetic and evolutionary computation","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-00687621v1","is_oa":true,"landing_page_url":"https://hal.science/hal-00687621","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"GECCO'11, 2011, Dublin, Ireland. pp.1531-1538, ⟨10.1145/2001576.2001782⟩","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-00687621v1","is_oa":true,"landing_page_url":"https://hal.science/hal-00687621","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"GECCO'11, 2011, Dublin, Ireland. pp.1531-1538, ⟨10.1145/2001576.2001782⟩","raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1066259253","display_name":null,"funder_award_id":"ANR-09-EMER-005","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G2705070221","display_name":null,"funder_award_id":"ANR-09-EMER","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W98056105","https://openalex.org/W182104509","https://openalex.org/W1489333352","https://openalex.org/W1515851193","https://openalex.org/W1577932924","https://openalex.org/W1986046303","https://openalex.org/W1990901789","https://openalex.org/W2044724603","https://openalex.org/W2056836848","https://openalex.org/W2075036916","https://openalex.org/W2104333095","https://openalex.org/W2111935653","https://openalex.org/W2111936318","https://openalex.org/W2118020688","https://openalex.org/W2119814172","https://openalex.org/W2120181489","https://openalex.org/W2121863487","https://openalex.org/W2126105956","https://openalex.org/W2129578597","https://openalex.org/W2138321920","https://openalex.org/W2138758959","https://openalex.org/W2138817206","https://openalex.org/W2143147813","https://openalex.org/W2143200432","https://openalex.org/W2143205742","https://openalex.org/W2151083897","https://openalex.org/W2162957977","https://openalex.org/W2569805627","https://openalex.org/W2612560169","https://openalex.org/W4214717370","https://openalex.org/W6677916085"],"related_works":["https://openalex.org/W2040128952","https://openalex.org/W2348453215","https://openalex.org/W2089413793","https://openalex.org/W4206069362","https://openalex.org/W2075289911","https://openalex.org/W2203294387","https://openalex.org/W2611414934","https://openalex.org/W1986719288","https://openalex.org/W2011264238","https://openalex.org/W3152327803"],"abstract_inverted_index":{"The":[0],"present":[1],"paper":[2],"analyzes":[3],"the":[4,29,53,84,112],"mutual":[5],"relationships":[6],"between":[7],"generative":[8,86],"and":[9,13,80],"developmental":[10],"systems":[11],"(GDS)":[12],"synaptic":[14,32,70,78],"plasticity":[15,71],"when":[16],"evolving":[17],"plastic":[18,43],"artificial":[19],"neural":[20],"networks":[21],"(ANNs)":[22],"in":[23],"reward-based":[24,107],"scenarios.":[25],"We":[26,56],"first":[27],"introduce":[28],"concept":[30],"of":[31,60,63],"Transitive":[33],"Learning":[34],"Abilities":[35],"(sTLA),":[36],"which":[37,102],"reflects":[38],"how":[39],"well":[40],"an":[41],"evolved":[42],"ANN":[44],"can":[45,72,103],"cope":[46],"with":[47,83],"learning":[48,92,100],"scenarios":[49,93,108],"not":[50,109],"encountered":[51],"during":[52,111],"evolution":[54],"process.":[55],"subsequently":[57],"report":[58],"results":[59],"a":[61,74,90,98],"set":[62],"experiments":[64],"designed":[65],"to":[66,76,96,106],"check":[67],"that":[68,82],"(1)":[69],"help":[73],"GDS":[75],"fine-tune":[77],"weights":[79],"(2)":[81],"investigated":[85],"encoding":[87],"(EvoNeuro),":[88],"only":[89],"few":[91],"are":[94],"necessary":[95],"evolve":[97],"general":[99],"system,":[101],"adapt":[104],"itself":[105],"tested":[110],"fitness":[113],"evaluation.":[114]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}