{"id":"https://openalex.org/W2018463075","doi":"https://doi.org/10.1145/1389095.1389141","title":"Nested evolution of an autonomous agent using descriptive encoding","display_name":"Nested evolution of an autonomous agent using descriptive encoding","publication_year":2008,"publication_date":"2008-07-12","ids":{"openalex":"https://openalex.org/W2018463075","doi":"https://doi.org/10.1145/1389095.1389141","mag":"2018463075"},"language":"en","primary_location":{"id":"doi:10.1145/1389095.1389141","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1389095.1389141","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th 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/A5007058506","display_name":"Jae-Yoon Jung","orcid":"https://orcid.org/0000-0001-7948-9803"},"institutions":[{"id":"https://openalex.org/I204722609","display_name":"Queen's University","ror":"https://ror.org/02y72wh86","country_code":"CA","type":"education","lineage":["https://openalex.org/I204722609"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Jae-Yoon Jung","raw_affiliation_strings":["Queen's University, Kingston, ON, Canada"],"affiliations":[{"raw_affiliation_string":"Queen's University, Kingston, ON, Canada","institution_ids":["https://openalex.org/I204722609"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050009555","display_name":"James A. Reggia","orcid":"https://orcid.org/0009-0003-8517-8405"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James A. Reggia","raw_affiliation_strings":["University of Maryland, College Park, MD, USA"],"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5007058506"],"corresponding_institution_ids":["https://openalex.org/I204722609"],"apc_list":null,"apc_paid":null,"fwci":0.5721,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.77324192,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"285","last_page":"286"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9932000041007996,"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":0.9929999709129333,"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":0.7912510633468628},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7534027099609375},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.7528719902038574},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.7353542447090149},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.7067158818244934},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5840358138084412},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.530428409576416},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.4736306071281433},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4568224549293518},{"id":"https://openalex.org/keywords/autonomous-agent","display_name":"Autonomous agent","score":0.42033514380455017},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3504348397254944},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.07622560858726501}],"concepts":[{"id":"https://openalex.org/C118070581","wikidata":"https://www.wikidata.org/wiki/Q2060528","display_name":"Neuroevolution","level":3,"score":0.7912510633468628},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7534027099609375},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.7528719902038574},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.7353542447090149},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.7067158818244934},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5840358138084412},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.530428409576416},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.4736306071281433},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4568224549293518},{"id":"https://openalex.org/C13687954","wikidata":"https://www.wikidata.org/wiki/Q4826847","display_name":"Autonomous agent","level":2,"score":0.42033514380455017},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3504348397254944},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.07622560858726501}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1389095.1389141","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1389095.1389141","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th annual conference on Genetic and evolutionary computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W1498178627","https://openalex.org/W2139818823","https://openalex.org/W2148111848"],"related_works":["https://openalex.org/W2168909409","https://openalex.org/W2144357723","https://openalex.org/W2950402165","https://openalex.org/W2114981325","https://openalex.org/W4302038648","https://openalex.org/W2099397840","https://openalex.org/W2249125133","https://openalex.org/W2857150653","https://openalex.org/W2166259948","https://openalex.org/W1764170461"],"abstract_inverted_index":{"In":[0],"this":[1,26,67],"paper,":[2],"we":[3],"investigate":[4],"the":[5,49,61,82],"use":[6],"of":[7,14],"nested":[8,54],"evolution":[9,55,69],"in":[10],"which":[11],"each":[12],"step":[13],"one":[15],"evolutionary":[16,22],"process":[17],"involves":[18],"running":[19],"a":[20,30,42,53,71,87,92],"second":[21],"process.":[23],"We":[24,65],"apply":[25],"approach":[27],"to":[28,47,59],"build":[29],"neuroevolution":[31],"system":[32],"for":[33],"reinforcement":[34],"learning":[35],"(RL)":[36],"problems.":[37],"Genetic":[38],"programming":[39],"based":[40],"on":[41,70],"descriptive":[43],"encoding":[44],"is":[45,57],"used":[46,58],"evolve":[48,60],"neural":[50],"architecture,":[51],"while":[52],"strategy":[56],"needed":[62],"connection":[63],"weights.":[64],"test":[66],"hierarchical":[68],"non-Markovian":[72],"RL":[73],"problem":[74],"involving":[75],"an":[76],"autonomous":[77],"foraging":[78],"agent,":[79],"finding":[80],"that":[81],"evolved":[83],"networks":[84],"significantly":[85],"outperform":[86],"rule-based":[88],"agent":[89],"serving":[90],"as":[91],"control.":[93]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
