{"id":"https://openalex.org/W1959831700","doi":"https://doi.org/10.1109/cig.2015.7317663","title":"Tutorial III: Evolving neural networks","display_name":"Tutorial III: Evolving neural networks","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W1959831700","doi":"https://doi.org/10.1109/cig.2015.7317663","mag":"1959831700"},"language":"en","primary_location":{"id":"doi:10.1109/cig.2015.7317663","doi":"https://doi.org/10.1109/cig.2015.7317663","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cig.2015.7317663","pdf_url":null,"source":{"id":"https://openalex.org/S7407086494","display_name":"IEEE Conference on Computational Intelligence and Games (CIG)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computational Intelligence and Games (CIG)","raw_type":"proceedings-article"},"volume":null,"type":"conference-abstract","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/A5020441009","display_name":"Risto P Miikkulainen","orcid":"https://orcid.org/0000-0002-0062-0037","observed_orcids":["https://orcid.org/0000-0002-0062-0037"]},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Risto Miikkulainen","raw_affiliation_strings":["University of Texas at Austin","University of Texas at Austin#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas at Austin","institution_ids":["https://openalex.org/I86519309"]},{"raw_affiliation_string":"University of Texas at Austin#TAB#","institution_ids":["https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5020441009"],"corresponding_institution_ids":["https://openalex.org/I86519309"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"22","last_page":"22"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9136000275611877,"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":0.9136000275611877,"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":0.06379999965429306,"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/T11574","display_name":"Artificial Intelligence in Games","score":0.012400000356137753,"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/neuroevolution","display_name":"neuroevolution","score":1.0},{"id":"https://openalex.org/keywords/evolving-neural-networks","display_name":"evolving neural networks","score":0.6890000104904175},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"reinforcement learning","score":0.847000002861023},{"id":"https://openalex.org/keywords/recurrent-neural-networks","display_name":"recurrent neural networks","score":0.7149999737739563},{"id":"https://openalex.org/keywords/network-topology-evolution","display_name":"network topology evolution","score":0.6850000023841858},{"id":"https://openalex.org/keywords/pattern-matching","display_name":"pattern matching","score":0.5360000133514404}],"concepts":[{"id":"https://openalex.org/C118070581","wikidata":"https://www.wikidata.org/wiki/Q2060528","display_name":"Neuroevolution","level":3,"score":0.9895731806755066},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7510286569595337},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6929786801338196},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.682506799697876},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6653115749359131},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.5196117758750916},{"id":"https://openalex.org/C41445625","wikidata":"https://www.wikidata.org/wiki/Q5418685","display_name":"Evolutionary acquisition of neural topologies","level":4,"score":0.5048344731330872},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.43772631883621216},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.43738484382629395},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4140670597553253},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3942244052886963},{"id":"https://openalex.org/C175202392","wikidata":"https://www.wikidata.org/wiki/Q2434543","display_name":"Time delay neural network","level":3,"score":0.18699604272842407},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10801494121551514},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cig.2015.7317663","doi":"https://doi.org/10.1109/cig.2015.7317663","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cig.2015.7317663","pdf_url":null,"source":{"id":"https://openalex.org/S7407086494","display_name":"IEEE Conference on Computational Intelligence and Games (CIG)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Conference on Computational Intelligence and Games (CIG)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2811365478","https://openalex.org/W2735321217","https://openalex.org/W2111935653","https://openalex.org/W2962258836","https://openalex.org/W1564754565","https://openalex.org/W100361683","https://openalex.org/W3022056588","https://openalex.org/W4256595690","https://openalex.org/W4230939888","https://openalex.org/W2796541468"],"abstract_inverted_index":{"Summary":[0],"form":[1],"only":[2],"given.":[3],"Neuroevolution,":[4],"i.e.":[5],"evolution":[6],"of":[7,40,82,95],"artificial":[8],"neural":[9,85],"networks,":[10,73],"has":[11],"recently":[12],"emerged":[13],"as":[14],"a":[15],"powerful":[16],"technique":[17],"for":[18],"solving":[19],"challenging":[20],"reinforcement":[21],"learning":[22,87],"problems.":[23],"Compared":[24],"to":[25,97],"traditional":[26,84],"(e.g.":[27],"value-function":[28],"based)":[29],"methods,":[30,91],"neuroevolution":[31,68,96],"is":[32,43],"especially":[33],"strong":[34],"in":[35,101],"domains":[36],"where":[37],"the":[38,41],"state":[39,48],"world":[42],"not":[44],"fully":[45],"known:":[46],"The":[47],"can":[49],"be":[50],"disambiguated":[51],"through":[52,58],"recurrency,":[53],"and":[54,76,92],"novel":[55],"situations":[56],"handled":[57],"pattern":[59],"matching.":[60],"In":[61],"this":[62],"tutorial,":[63],"I":[64],"will":[65],"review":[66],"(1)":[67],"methods":[69],"that":[70],"evolve":[71],"fixedtopology":[72],"network":[74,77,86],"topologies,":[75],"construction":[78],"processes,":[79],"(2)":[80],"ways":[81],"combining":[83],"algorithms":[88],"with":[89],"evolutionary":[90],"(3)":[93],"applications":[94],"creating":[98],"intelligent":[99],"agents":[100],"games.":[102]},"counts_by_year":[],"updated_date":"2026-10-05T09:50:58.205359","created_date":"2025-10-10T00:00:00"}