{"id":"https://openalex.org/W2028898098","doi":"https://doi.org/10.1145/1068009.1068097","title":"'Managed challenge' alleviates disengagement in co-evolutionary system identification","display_name":"'Managed challenge' alleviates disengagement in co-evolutionary system identification","publication_year":2005,"publication_date":"2005-06-25","ids":{"openalex":"https://openalex.org/W2028898098","doi":"https://doi.org/10.1145/1068009.1068097","mag":"2028898098"},"language":"en","primary_location":{"id":"doi:10.1145/1068009.1068097","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1068009.1068097","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th 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/A5066791342","display_name":"Josh Bongard","orcid":"https://orcid.org/0000-0001-8515-0822"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Josh C. Bongard","raw_affiliation_strings":["Cornell University, Ithaca, NY","Cornell University (Ithaca, NY);"],"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY","institution_ids":["https://openalex.org/I205783295"]},{"raw_affiliation_string":"Cornell University (Ithaca, NY);","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025894735","display_name":"Hod Lipson","orcid":"https://orcid.org/0000-0003-0769-4618"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hod Lipson","raw_affiliation_strings":["Cornell University, Ithaca, NY","Cornell University (Ithaca, NY);"],"affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY","institution_ids":["https://openalex.org/I205783295"]},{"raw_affiliation_string":"Cornell University (Ithaca, NY);","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5066791342"],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":null,"apc_paid":null,"fwci":5.0236,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.94998876,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"531","last_page":"538"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9986000061035156,"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":0.9986000061035156,"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/T10320","display_name":"Neural Networks and Applications","score":0.9883999824523926,"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/T11236","display_name":"Control Systems and Identification","score":0.9868999719619751,"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/disengagement-theory","display_name":"Disengagement theory","score":0.8203284740447998},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.697713315486908},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6670940518379211},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.6259279251098633},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.6142276525497437},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5894585847854614},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5879382491111755},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.5391784906387329},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5074784159660339},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.440839946269989},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.43548065423965454},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4301515519618988},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4202391803264618},{"id":"https://openalex.org/keywords/parameter-identification-problem","display_name":"Parameter identification problem","score":0.4103279411792755},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3223949372768402},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1613834798336029},{"id":"https://openalex.org/keywords/ecology","display_name":"Ecology","score":0.0944351851940155},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.07612872123718262}],"concepts":[{"id":"https://openalex.org/C25740722","wikidata":"https://www.wikidata.org/wiki/Q3044915","display_name":"Disengagement theory","level":2,"score":0.8203284740447998},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.697713315486908},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6670940518379211},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.6259279251098633},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.6142276525497437},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5894585847854614},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5879382491111755},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.5391784906387329},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5074784159660339},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.440839946269989},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.43548065423965454},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4301515519618988},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4202391803264618},{"id":"https://openalex.org/C79610928","wikidata":"https://www.wikidata.org/wiki/Q1656743","display_name":"Parameter identification problem","level":3,"score":0.4103279411792755},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3223949372768402},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1613834798336029},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0944351851940155},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.07612872123718262},{"id":"https://openalex.org/C2983447341","wikidata":"https://www.wikidata.org/wiki/Q1413083","display_name":"Model parameter","level":2,"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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C74909509","wikidata":"https://www.wikidata.org/wiki/Q10387","display_name":"Gerontology","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/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/1068009.1068097","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1068009.1068097","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th annual conference on Genetic and evolutionary computation","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.113.3637","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.113.3637","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.uvm.edu/~jbongard/papers/GECCO05_Bongard.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.147.6880","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.147.6880","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.bham.ac.uk/~wbl/biblio/gecco2005/docs/p531.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W49093931","https://openalex.org/W203597507","https://openalex.org/W394801416","https://openalex.org/W1482546558","https://openalex.org/W1503911500","https://openalex.org/W1535044408","https://openalex.org/W1567027305","https://openalex.org/W1588058512","https://openalex.org/W1588264526","https://openalex.org/W1603664789","https://openalex.org/W1607413200","https://openalex.org/W1621711402","https://openalex.org/W1766945642","https://openalex.org/W1944986527","https://openalex.org/W1965324089","https://openalex.org/W2040135606","https://openalex.org/W2055289715","https://openalex.org/W2082031730","https://openalex.org/W2116264762","https://openalex.org/W2117673555","https://openalex.org/W2122587157","https://openalex.org/W2129255025","https://openalex.org/W2169157770","https://openalex.org/W2895705004","https://openalex.org/W3004042307","https://openalex.org/W4256451422","https://openalex.org/W4285719527","https://openalex.org/W6602023597","https://openalex.org/W6631889330","https://openalex.org/W6636311827","https://openalex.org/W6755157925"],"related_works":["https://openalex.org/W1972460078","https://openalex.org/W3111546938","https://openalex.org/W1576040274","https://openalex.org/W2117059447","https://openalex.org/W2156286457","https://openalex.org/W301985998","https://openalex.org/W2052798316","https://openalex.org/W3088791881","https://openalex.org/W3101399808","https://openalex.org/W2186781267"],"abstract_inverted_index":{"In":[0,24,70],"previous":[1],"papers":[2],"we":[3,27,128,148],"have":[4],"described":[5],"a":[6,62,81],"co-evolutionary":[7,50],"algorithm":[8],"(EEA),":[9],"the":[10,15,29,36,58,77,93,100,124,145,153,159,162,170,179],"estimation-exploration":[11],"algorithm,":[12],"that":[13,91,119,130,158],"infers":[14],"hidden":[16],"inner":[17,78,191,199],"structure":[18,79,192,200],"of":[19,31,38,64,80,161,172,181,205],"systems":[20],"using":[21,83,201],"minimal":[22],"testing.":[23],"this":[25,41,113,151],"paper":[26],"introduce":[28],"concept":[30],"'managed":[32],"challenge'":[33],"to":[34,95,102,150],"alleviate":[35],"problem":[37,48],"disengagement":[39,114,139],"in":[40,49,61,116],"and":[42,140,176,194],"other":[43],"co-evol-utionary":[44],"algorithms.":[45],"A":[46],"known":[47],"dynamics":[51],"occurs":[52],"when":[53,144],"one":[54],"population":[55,146],"systematically":[56],"outperforms":[57],"other,":[59],"resulting":[60],"loss":[63],"selection":[65],"pressure":[66],"for":[67,169,185],"both":[68,186],"populations.":[69],"system":[71,82,94,101],"identification":[72,188,196],"(which":[73],"deals":[74],"with":[75],"determining":[76],"only":[84],"input/output":[85],"data),":[86],"multiple":[87],"trials":[88,110],"(a":[89],"test":[90,154,163],"causes":[92],"produce":[96],"some":[97],"output)":[98],"on":[99],"be":[103,106,136],"identified":[104],"must":[105],"performed.":[107],"When":[108],"such":[109],"are":[111],"costly,":[112],"results":[115],"wasted":[117],"data":[118,131,184],"is":[120,165],"not":[121],"utilized":[122],"by":[123],"evolutionary":[125],"process.":[126],"Here":[127],"propose":[129],"from":[132],"futile":[133],"interactions":[134],"should":[135],"stored":[137],"during":[138],"automatically":[141],"re-introduced":[142],"later,":[143],"re-engages:":[147],"refer":[149],"as":[152],"bank.":[155],"We":[156],"demonstrate":[157],"advantage":[160],"bank":[164],"two-fold:":[166],"it":[167,177],"allows":[168],"discovery":[171],"more":[173],"accurate":[174],"models,":[175],"reduces":[178],"amount":[180],"required":[182],"training":[183],"parametric":[187],"--":[189,193,197,204],"parameterizing":[190],"symbolic":[195,202],"approximating":[198],"equations":[203],"nonlinear":[206],"systems.":[207]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}