{"id":"https://openalex.org/W2485228835","doi":"https://doi.org/10.1145/2908812.2908836","title":"Does Aligning Phenotypic and Genotypic Modularity Improve the Evolution of Neural Networks?","display_name":"Does Aligning Phenotypic and Genotypic Modularity Improve the Evolution of Neural Networks?","publication_year":2016,"publication_date":"2016-07-20","ids":{"openalex":"https://openalex.org/W2485228835","doi":"https://doi.org/10.1145/2908812.2908836","mag":"2485228835"},"language":"en","primary_location":{"id":"doi:10.1145/2908812.2908836","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2908812.2908836","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2908836&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference 2016","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://dl.acm.org/ft_gateway.cfm?id=2908836&type=pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018598100","display_name":"Joost Huizinga","orcid":"https://orcid.org/0000-0003-0877-3051"},"institutions":[{"id":"https://openalex.org/I12834331","display_name":"University of Wyoming","ror":"https://ror.org/01485tq96","country_code":"US","type":"education","lineage":["https://openalex.org/I12834331"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Joost Huizinga","raw_affiliation_strings":["University of Wyoming, Laramie, WY, USA"],"affiliations":[{"raw_affiliation_string":"University of Wyoming, Laramie, WY, USA","institution_ids":["https://openalex.org/I12834331"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032227198","display_name":"Jean-Baptiste Mouret","orcid":"https://orcid.org/0000-0002-2513-027X"},"institutions":[{"id":"https://openalex.org/I90183372","display_name":"Universit\u00e9 de Lorraine","ror":"https://ror.org/04vfs2w97","country_code":"FR","type":"education","lineage":["https://openalex.org/I90183372"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jean-Baptiste Mouret","raw_affiliation_strings":["University of Lorraine, Nancy, France","Lifelong Autonomy and interaction skills for Robots in a Sensing ENvironment"],"affiliations":[{"raw_affiliation_string":"University of Lorraine, Nancy, France","institution_ids":["https://openalex.org/I90183372"]},{"raw_affiliation_string":"Lifelong Autonomy and interaction skills for Robots in a Sensing ENvironment","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112191507","display_name":"Jeff Clune","orcid":null},"institutions":[{"id":"https://openalex.org/I12834331","display_name":"University of Wyoming","ror":"https://ror.org/01485tq96","country_code":"US","type":"education","lineage":["https://openalex.org/I12834331"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeff Clune","raw_affiliation_strings":["University of Wyoming, Laramie, WY, USA"],"affiliations":[{"raw_affiliation_string":"University of Wyoming, Laramie, WY, USA","institution_ids":["https://openalex.org/I12834331"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5018598100"],"corresponding_institution_ids":["https://openalex.org/I12834331"],"apc_list":null,"apc_paid":null,"fwci":5.3222,"has_fulltext":true,"cited_by_count":21,"citation_normalized_percentile":{"value":0.95892719,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"125","last_page":"132"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.996399998664856,"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":0.996399998664856,"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":0.980400025844574,"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/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.963699996471405,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/modularity","display_name":"Modularity (biology)","score":0.9307661652565002},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6662712097167969},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.6499265432357788},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.627349853515625},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6251109838485718},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.5441653728485107},{"id":"https://openalex.org/keywords/evolutionary-robotics","display_name":"Evolutionary robotics","score":0.5086251497268677},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4606018662452698},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39561182260513306},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.19070476293563843},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09456384181976318},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07601439952850342}],"concepts":[{"id":"https://openalex.org/C2779478453","wikidata":"https://www.wikidata.org/wiki/Q6889748","display_name":"Modularity (biology)","level":2,"score":0.9307661652565002},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6662712097167969},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.6499265432357788},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.627349853515625},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6251109838485718},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.5441653728485107},{"id":"https://openalex.org/C199505168","wikidata":"https://www.wikidata.org/wiki/Q3267529","display_name":"Evolutionary robotics","level":3,"score":0.5086251497268677},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4606018662452698},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39561182260513306},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.19070476293563843},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09456384181976318},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07601439952850342},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C34447519","wikidata":"https://www.wikidata.org/wiki/Q179522","display_name":"Market economy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2908812.2908836","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2908812.2908836","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2908836&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference 2016","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-01402502v1","is_oa":true,"landing_page_url":"https://inria.hal.science/hal-01402502","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":"Proceedings of the 25th Genetic and Evolutionary Computation Conference (GECCO), ACM, 2016, Denver, France. pp.125 - 132, ⟨10.1145/2908812.2908836⟩","raw_type":"Conference papers"}],"best_oa_location":{"id":"doi:10.1145/2908812.2908836","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2908812.2908836","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2908836&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference 2016","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1171700966","display_name":null,"funder_award_id":"NSF CAREER","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6702880738","display_name":null,"funder_award_id":"ANR-12","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G6993247993","display_name":null,"funder_award_id":"ANR-12-JS03-0009","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G7199966382","display_name":null,"funder_award_id":"1453549","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"},{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2485228835.pdf","grobid_xml":"https://content.openalex.org/works/W2485228835.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W1714932027","https://openalex.org/W1965654221","https://openalex.org/W1990284337","https://openalex.org/W1998180209","https://openalex.org/W1999653836","https://openalex.org/W2003117097","https://openalex.org/W2012391952","https://openalex.org/W2013603727","https://openalex.org/W2019580310","https://openalex.org/W2020180319","https://openalex.org/W2020399841","https://openalex.org/W2028372333","https://openalex.org/W2060399360","https://openalex.org/W2061719199","https://openalex.org/W2063251739","https://openalex.org/W2072815644","https://openalex.org/W2075746068","https://openalex.org/W2076052512","https://openalex.org/W2082582863","https://openalex.org/W2094349239","https://openalex.org/W2097351860","https://openalex.org/W2107576392","https://openalex.org/W2112413846","https://openalex.org/W2119814172","https://openalex.org/W2124088880","https://openalex.org/W2126105956","https://openalex.org/W2126606094","https://openalex.org/W2129578597","https://openalex.org/W2143502460","https://openalex.org/W2151936673","https://openalex.org/W2155921792","https://openalex.org/W2156245846","https://openalex.org/W2990714382","https://openalex.org/W3099264534","https://openalex.org/W4240503510","https://openalex.org/W4381659489","https://openalex.org/W6637689829","https://openalex.org/W6666233646","https://openalex.org/W6681075789"],"related_works":["https://openalex.org/W2297768894","https://openalex.org/W2378076731","https://openalex.org/W3109014690","https://openalex.org/W2122405502","https://openalex.org/W2884798239","https://openalex.org/W2114254072","https://openalex.org/W2127721729","https://openalex.org/W1531253727","https://openalex.org/W2366669483","https://openalex.org/W2080845967"],"abstract_inverted_index":{"Many":[0],"argue":[1],"that":[2,7,9,19,24,35,63,125,198,213],"to":[3,15,60,85,151,210],"evolve":[4,16,61,206],"artificial":[5],"intelligence":[6],"rivals":[8],"of":[10,45,58,141,156,168],"natural":[11],"animals,":[12],"we":[13,123,204],"need":[14],"neural":[17,217],"networks":[18,62,209],"are":[20,64,135],"structurally":[21,207],"organized":[22,208],"in":[23,91,98,180],"they":[25],"exhibit":[26],"modularity,":[27,46],"regularity,":[28,59],"and":[29,67,112,132,184],"hierarchy.":[30],"It":[31],"was":[32],"recently":[33],"shown":[34],"a":[36,113],"cost":[37],"for":[38],"network":[39],"connections,":[40],"which":[41,54],"encourages":[42,55],"the":[43,56,70,92,99,139,153,160,166,182],"evolution":[44,57,79],"can":[47,205],"be":[48],"combined":[49],"with":[50,96],"an":[51,187],"indirect":[52,75],"encoding,":[53],"both":[65,181],"modular":[66],"regular.":[68],"However,":[69],"bias":[71],"towards":[72,190],"regularity":[73],"from":[74,80],"encodings":[76],"may":[77],"prevent":[78],"independently":[81],"optimizing":[82],"different":[83,87,118,216],"modules":[84],"perform":[86],"functions,":[88],"unless":[89],"modularity":[90,97,134,179],"phenotype":[93,185],"is":[94,127,201],"aligned":[95],"genotype.":[100],"We":[101],"test":[102],"this":[103],"hypothesis":[104],"on":[105,159],"two":[106],"multi-modal":[107,193],"problems---a":[108],"pattern":[109],"recognition":[110],"task":[111],"robotics":[114,163],"task---that":[115],"each":[116],"require":[117,214],"phenotypic":[119,133],"modules.":[120,218],"In":[121,145],"general,":[122],"find":[124],"performance":[126,154],"improved":[128],"only":[129],"when":[130],"genotypic":[131],"encouraged":[136],"simultaneously,":[137],"though":[138],"role":[140],"alignment":[142],"remains":[143],"unclear.":[144],"addition,":[146],"intuitive":[147],"manual":[148],"decompositions":[149],"fail":[150],"provide":[152],"benefits":[155],"automatic":[157],"methods":[158],"more":[161,199],"challenging":[162],"problem,":[164],"emphasizing":[165],"importance":[167],"automatic,":[169],"rather":[170],"than":[171],"manual,":[172],"decomposition":[173],"methods.":[174],"These":[175],"results":[176],"suggest":[177],"encouraging":[178],"genotype":[183],"as":[186],"important":[188],"step":[189],"solving":[191],"large-scale":[192],"problems,":[194],"but":[195],"also":[196],"indicate":[197],"research":[200],"required":[202],"before":[203],"solve":[211],"tasks":[212],"multiple,":[215]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":3}],"updated_date":"2026-03-15T09:29:46.208133","created_date":"2025-10-10T00:00:00"}