{"id":"https://openalex.org/W2129698522","doi":"https://doi.org/10.1145/1068009.1068093","title":"Monotonic solution concepts in coevolution","display_name":"Monotonic solution concepts in coevolution","publication_year":2005,"publication_date":"2005-06-25","ids":{"openalex":"https://openalex.org/W2129698522","doi":"https://doi.org/10.1145/1068009.1068093","mag":"2129698522"},"language":"en","primary_location":{"id":"doi:10.1145/1068009.1068093","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1068009.1068093","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/A5082381994","display_name":"Sevan G. Ficici","orcid":null},"institutions":[{"id":"https://openalex.org/I6902469","display_name":"Brandeis University","ror":"https://ror.org/05abbep66","country_code":"US","type":"education","lineage":["https://openalex.org/I6902469"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sevan G. Ficici","raw_affiliation_strings":["Brandeis University, Waltham, MA","Brandeis University , Waltham, MA"],"affiliations":[{"raw_affiliation_string":"Brandeis University, Waltham, MA","institution_ids":["https://openalex.org/I6902469"]},{"raw_affiliation_string":"Brandeis University , Waltham, MA","institution_ids":["https://openalex.org/I6902469"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5082381994"],"corresponding_institution_ids":["https://openalex.org/I6902469"],"apc_list":null,"apc_paid":null,"fwci":3.3767,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.92673763,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"499","last_page":"506"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11031","display_name":"Game Theory and Applications","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11031","display_name":"Game Theory and Applications","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10646","display_name":"Experimental Behavioral Economics Studies","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11252","display_name":"Evolutionary Game Theory and Cooperation","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/monotonic-function","display_name":"Monotonic function","score":0.8322921395301819},{"id":"https://openalex.org/keywords/solution-concept","display_name":"Solution concept","score":0.570084273815155},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5644288659095764},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.5642384886741638},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5450248718261719},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5094345211982727},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.47802838683128357},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.467228502035141},{"id":"https://openalex.org/keywords/coevolution","display_name":"Coevolution","score":0.42143717408180237},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.41549211740493774},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3928910493850708},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37205612659454346},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3273257613182068},{"id":"https://openalex.org/keywords/nash-equilibrium","display_name":"Nash equilibrium","score":0.3082793354988098},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.11109325289726257},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07006487250328064}],"concepts":[{"id":"https://openalex.org/C72169020","wikidata":"https://www.wikidata.org/wiki/Q194404","display_name":"Monotonic function","level":2,"score":0.8322921395301819},{"id":"https://openalex.org/C11343654","wikidata":"https://www.wikidata.org/wiki/Q780008","display_name":"Solution concept","level":3,"score":0.570084273815155},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5644288659095764},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.5642384886741638},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5450248718261719},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5094345211982727},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.47802838683128357},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.467228502035141},{"id":"https://openalex.org/C33009525","wikidata":"https://www.wikidata.org/wiki/Q208841","display_name":"Coevolution","level":2,"score":0.42143717408180237},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.41549211740493774},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3928910493850708},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37205612659454346},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3273257613182068},{"id":"https://openalex.org/C46814582","wikidata":"https://www.wikidata.org/wiki/Q23389","display_name":"Nash equilibrium","level":2,"score":0.3082793354988098},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.11109325289726257},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07006487250328064},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/1068009.1068093","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1068009.1068093","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:10.1.1.420.4337","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.420.4337","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/p499.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.60.9365","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.60.9365","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://demo.cs.brandeis.edu/papers/ficici_gecco_05.ps.gz","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":40,"referenced_works":["https://openalex.org/W96166798","https://openalex.org/W97587491","https://openalex.org/W135895241","https://openalex.org/W1415442047","https://openalex.org/W1506413385","https://openalex.org/W1518805529","https://openalex.org/W1524518254","https://openalex.org/W1535044408","https://openalex.org/W1556200398","https://openalex.org/W1569749180","https://openalex.org/W1572352511","https://openalex.org/W1576963801","https://openalex.org/W1578837487","https://openalex.org/W1601099115","https://openalex.org/W1602132379","https://openalex.org/W1960351623","https://openalex.org/W1964202724","https://openalex.org/W1996467385","https://openalex.org/W2000690799","https://openalex.org/W2001616149","https://openalex.org/W2049060674","https://openalex.org/W2060954690","https://openalex.org/W2100211715","https://openalex.org/W2117179645","https://openalex.org/W2121365620","https://openalex.org/W2127197749","https://openalex.org/W2145250129","https://openalex.org/W2146882317","https://openalex.org/W2150760822","https://openalex.org/W2161425694","https://openalex.org/W2162560054","https://openalex.org/W2527362894","https://openalex.org/W4247577174","https://openalex.org/W6603899279","https://openalex.org/W6631889330","https://openalex.org/W6634161431","https://openalex.org/W6679071302","https://openalex.org/W6843338347","https://openalex.org/W7027479553","https://openalex.org/W7075337242"],"related_works":["https://openalex.org/W2952611531","https://openalex.org/W2408729172","https://openalex.org/W2097226409","https://openalex.org/W615573743","https://openalex.org/W2468739564","https://openalex.org/W183406491","https://openalex.org/W2218535193","https://openalex.org/W2025767136","https://openalex.org/W1613221887","https://openalex.org/W4320802308"],"abstract_inverted_index":{"Assume":[0],"a":[1,22,30,80],"coevolutionary":[2,106,135,171,182],"algorithm":[3,28,43,69,107,136],"capable":[4],"of":[5,34,51,63,89,148,165,198],"storing":[6],"and":[7,92,162,179,193],"utilizing":[8],"all":[9],"phenotypes":[10],"discovered":[11],"during":[12],"its":[13,52],"operation,":[14,53],"for":[15],"as":[16,18],"long":[17],"it":[19],"operates":[20],"on":[21],"problem;":[23],"that":[24,99,127],"is,":[25],"assume":[26],"an":[27,42],"with":[29,110,175,188],"monotonically":[31,71,109],"increasing":[32],"knowledge":[33],"the":[35,49,54,61,64,68,87,101,105,118,123,128,133,144],"search":[36,177],"space.":[37],"We":[38,96,125],"ask:":[39],"If":[40],"such":[41,191],"were":[44],"to":[45,84,112,170,190,196],"periodically":[46],"report,":[47],"over":[48,72],"course":[50],"best":[55],"solution":[56,65,119,129,146],"found":[57],"so":[58],"far,":[59],"would":[60],"quality":[62],"reported":[66,103],"by":[67,104,122,132],"improve":[70,108],"time?":[73],"To":[74],"answer":[75],"this":[76,113,156],"question,":[77],"we":[78],"construct":[79],"simple":[81],"preference":[82,114],"relation":[83,115],"reason":[85],"about":[86],"goodness":[88,166],"different":[90],"individual":[91],"composite":[93],"phenotypic":[94],"behaviors.":[95],"then":[97],"show":[98,126],"whether":[100,160,181],"solutions":[102,195],"respect":[111,189],"depends":[116],"upon":[117],"concept":[120,130,147],"implemented":[121,131],"algorithm.":[124],"conventional":[134],"does":[137,151],"not":[138],"guarantee":[139,152],"monotonic":[140,153],"improvement;":[141],"in":[142,185],"contrast,":[143],"game-theoretic":[145],"Nash":[149],"equilibrium":[150],"improvement.":[154],"Thus,":[155],"paper":[157],"considers":[158],"1)":[159],"global":[161],"objective":[163],"metrics":[164,192],"can":[167],"be":[168],"applied":[169],"problem":[172],"domains":[173],"(possibly":[174],"open-ended":[176],"spaces),":[178],"2)":[180],"algorithms":[183],"can,":[184],"principle,":[186],"optimize":[187],"find":[194],"games":[197],"strategy.":[199]},"counts_by_year":[{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":2},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}