{"id":"https://openalex.org/W2092265068","doi":"https://doi.org/10.1145/1143997.1144068","title":"Actively probing and modeling users in interactive coevolution","display_name":"Actively probing and modeling users in interactive coevolution","publication_year":2006,"publication_date":"2006-07-08","ids":{"openalex":"https://openalex.org/W2092265068","doi":"https://doi.org/10.1145/1143997.1144068","mag":"2092265068"},"language":"en","primary_location":{"id":"doi:10.1145/1143997.1144068","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1143997.1144068","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th annual conference on Genetic and evolutionary computation","raw_type":"proceedings-article"},"type":"conference-paper","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/A5088013683","display_name":"Michael D. Schmidt","orcid":"https://orcid.org/0000-0002-8062-4491"},"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":"Michael D. Schmidt","raw_affiliation_strings":["Cornell University, Ithaca, NY","Cornell University (Ithaca, NY);"],"raw_orcid":null,"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);"],"raw_orcid":null,"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":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":null,"apc_paid":null,"fwci":0.6316,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.61069937,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"385","last_page":"386"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11309","display_name":"Music and Audio Processing","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11349","display_name":"Music Technology and Sound Studies","score":0.9781000018119812,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9767000079154968,"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/coevolution","display_name":"Coevolution","score":0.844037652015686},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6547860503196716},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.40732258558273315},{"id":"https://openalex.org/keywords/evolutionary-biology","display_name":"Evolutionary biology","score":0.13411074876785278},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.08921763300895691}],"concepts":[{"id":"https://openalex.org/C33009525","wikidata":"https://www.wikidata.org/wiki/Q208841","display_name":"Coevolution","level":2,"score":0.844037652015686},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6547860503196716},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.40732258558273315},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.13411074876785278},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08921763300895691}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/1143997.1144068","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1143997.1144068","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th annual conference on Genetic and evolutionary computation","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.147.9215","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.147.9215","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/gecco2006/docs/p385.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.375.9195","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.375.9195","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://creativemachines.cornell.edu/papers/GECCO06_Schmidt.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.86.5976","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.86.5976","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.mae.cornell.edu/ccsl/papers/GECCO06_Schmidt2.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W42643001","https://openalex.org/W50586046","https://openalex.org/W135895241","https://openalex.org/W183625566","https://openalex.org/W1503911500","https://openalex.org/W1540706608","https://openalex.org/W1566818867","https://openalex.org/W1576818901","https://openalex.org/W1585335425","https://openalex.org/W1680392829","https://openalex.org/W2017908696","https://openalex.org/W2028347567","https://openalex.org/W2074397232","https://openalex.org/W2103496339","https://openalex.org/W2139922916","https://openalex.org/W2150704630","https://openalex.org/W2151019861","https://openalex.org/W2156876426","https://openalex.org/W2249418430","https://openalex.org/W2418011578"],"related_works":["https://openalex.org/W2045456578","https://openalex.org/W2076610045","https://openalex.org/W2918883224","https://openalex.org/W3106945349","https://openalex.org/W3204394973","https://openalex.org/W2278205256","https://openalex.org/W2883555950","https://openalex.org/W4246426965","https://openalex.org/W2051154247","https://openalex.org/W3005892291"],"abstract_inverted_index":{"A":[0],"major":[1],"challenge":[2],"in":[3,115,121,154],"interactive":[4,16],"evolution":[5,85],"is":[6,62],"extracting":[7,99],"user":[8,125,137,149,156],"preferences":[9],"with":[10,69],"minimal":[11],"probing.":[12],"We":[13,27],"introduce":[14],"an":[15],"multi-objective":[17],"coevolutionary":[18],"algorithm":[19],"that":[20,35,47,130],"actively":[21],"selects":[22],"the":[23,49,70,84,131,136,144,148,155,166],"most":[24,50],"informative":[25],"probes:":[26],"simultaneously":[28],"coevolve":[29],"a":[30,42],"population":[31,43],"of":[32,44,86],"candidate":[33,45],"models":[34,101,150,167],"explain":[36],"users'":[37],"selection":[38],"so":[39],"far,":[40],"and":[41,113],"probes":[46,68],"cause":[48],"divergence":[51],"among":[52,75],"model":[53,57,80],"predictions,":[54],"thereby":[55,78,158],"elucidating":[56],"uncertainties":[58],"(divergence).":[59],"As":[60],"progress":[61],"made,":[63],"we":[64,90],"begin":[65],"selecting":[66],"for":[67,162],"highest":[71],"expected":[72],"outcome":[73],"averaged":[74],"different":[76],"models,":[77],"exploiting":[79],"certainties":[81],"(consensus).":[82],"In":[83],"pen":[87,116],"stroke":[88,117],"drawings,":[89],"find":[91],"this":[92],"technique":[93],"to":[94,134,143,172],"be":[95],"highly":[96],"effective":[97],"at":[98],"preference":[100,110,114,161],"from":[102],"very":[103],"limited":[104],"human":[105],"interaction.":[106],"Using":[107],"only":[108],"pair-wise":[109],"questions,":[111],"strategy":[112],"drawings":[118,141,164],"are":[119,168],"extracted":[120],"fewer":[122],"than":[123],"ten":[124],"probes.":[126],"Our":[127],"results":[128],"show":[129],"optimal":[132],"questions":[133],"probe":[135],"need":[138],"not":[139],"include":[140],"similar":[142],"target":[145,163],"drawing.":[146],"Instead,":[147],"converge":[151],"on":[152],"trends":[153],"responses,":[157],"extrapolating":[159],"strong":[160],"which":[165],"never":[169],"actually":[170],"trained":[171],"prefer.":[173]},"counts_by_year":[{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}