{"id":"https://openalex.org/W2797123983","doi":"https://doi.org/10.1145/3205455.3205523","title":"Evolving event-driven programs with SignalGP","display_name":"Evolving event-driven programs with SignalGP","publication_year":2018,"publication_date":"2018-07-02","ids":{"openalex":"https://openalex.org/W2797123983","doi":"https://doi.org/10.1145/3205455.3205523","mag":"2797123983"},"language":"en","primary_location":{"id":"doi:10.1145/3205455.3205523","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3205455.3205523","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3205455.3205523","source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3205455.3205523","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008242968","display_name":"Alexander Lalejini","orcid":"https://orcid.org/0000-0003-0994-2718"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexander Lalejini","raw_affiliation_strings":["Michigan State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan State University","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026353119","display_name":"Charles Ofria","orcid":"https://orcid.org/0000-0003-2924-1732"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Charles Ofria","raw_affiliation_strings":["Michigan State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan State University","institution_ids":["https://openalex.org/I87216513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7028,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.79491225,"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":"1135","last_page":"1142"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9998999834060669,"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":0.9998999834060669,"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":0.995199978351593,"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/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7953041791915894},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.7478014230728149},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.7195307016372681},{"id":"https://openalex.org/keywords/toolbox","display_name":"Toolbox","score":0.6684409976005554},{"id":"https://openalex.org/keywords/event-driven-programming","display_name":"Event-driven programming","score":0.6096591949462891},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5882741212844849},{"id":"https://openalex.org/keywords/fitness-function","display_name":"Fitness function","score":0.5142714381217957},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.43374839425086975},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4196758270263672},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.41187554597854614},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.40804317593574524},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.37316620349884033},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34739160537719727},{"id":"https://openalex.org/keywords/programming-paradigm","display_name":"Programming paradigm","score":0.33156198263168335},{"id":"https://openalex.org/keywords/reactive-programming","display_name":"Reactive programming","score":0.3314730226993561},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.291745662689209},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.28776782751083374},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.23438340425491333},{"id":"https://openalex.org/keywords/inductive-programming","display_name":"Inductive programming","score":0.19535070657730103}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7953041791915894},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.7478014230728149},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.7195307016372681},{"id":"https://openalex.org/C2777655017","wikidata":"https://www.wikidata.org/wiki/Q1501161","display_name":"Toolbox","level":2,"score":0.6684409976005554},{"id":"https://openalex.org/C77362995","wikidata":"https://www.wikidata.org/wiki/Q1135914","display_name":"Event-driven programming","level":5,"score":0.6096591949462891},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5882741212844849},{"id":"https://openalex.org/C176066374","wikidata":"https://www.wikidata.org/wiki/Q629118","display_name":"Fitness function","level":3,"score":0.5142714381217957},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.43374839425086975},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4196758270263672},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.41187554597854614},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.40804317593574524},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.37316620349884033},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34739160537719727},{"id":"https://openalex.org/C34165917","wikidata":"https://www.wikidata.org/wiki/Q188267","display_name":"Programming paradigm","level":2,"score":0.33156198263168335},{"id":"https://openalex.org/C150762246","wikidata":"https://www.wikidata.org/wiki/Q4354073","display_name":"Reactive programming","level":4,"score":0.3314730226993561},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.291745662689209},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.28776782751083374},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23438340425491333},{"id":"https://openalex.org/C50033165","wikidata":"https://www.wikidata.org/wiki/Q15712089","display_name":"Inductive programming","level":3,"score":0.19535070657730103},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3205455.3205523","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3205455.3205523","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3205455.3205523","source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1804.05445","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1804.05445","pdf_url":"https://arxiv.org/pdf/1804.05445","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3205455.3205523","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3205455.3205523","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3205455.3205523","source":{"id":"https://openalex.org/S4363608932","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"Proceedings of the Genetic and Evolutionary Computation Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1398279541","display_name":null,"funder_award_id":"0939454","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3359883775","display_name":null,"funder_award_id":"DGE-1424871","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3398009408","display_name":null,"funder_award_id":"DGE-1424871,DBI-0939454,DEB-1655715","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4526404161","display_name":null,"funder_award_id":"1424871","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7531921253","display_name":null,"funder_award_id":"-0939454","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8861640048","display_name":null,"funder_award_id":"DEB-1655715","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320310016","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993"},{"id":"https://openalex.org/F4320332431","display_name":"College of Engineering, Michigan State University","ror":"https://ror.org/05hs6h993"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2797123983.pdf","grobid_xml":"https://content.openalex.org/works/W2797123983.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W50195454","https://openalex.org/W387729145","https://openalex.org/W1483736078","https://openalex.org/W1503064567","https://openalex.org/W1514538606","https://openalex.org/W1551110077","https://openalex.org/W1555512498","https://openalex.org/W1564561177","https://openalex.org/W1576818901","https://openalex.org/W1607805252","https://openalex.org/W1975010687","https://openalex.org/W1979361901","https://openalex.org/W1985235885","https://openalex.org/W2003138569","https://openalex.org/W2007401174","https://openalex.org/W2040323102","https://openalex.org/W2059096541","https://openalex.org/W2064626700","https://openalex.org/W2120654202","https://openalex.org/W2127338150","https://openalex.org/W2132453706","https://openalex.org/W2138183589","https://openalex.org/W2147276070","https://openalex.org/W2155216551","https://openalex.org/W2176907573","https://openalex.org/W2582743722","https://openalex.org/W2621208586","https://openalex.org/W2754697621","https://openalex.org/W2754929710","https://openalex.org/W2901136733","https://openalex.org/W3186293301","https://openalex.org/W4236463097","https://openalex.org/W4237291625","https://openalex.org/W4240746805"],"related_works":["https://openalex.org/W2561856575","https://openalex.org/W1792573625","https://openalex.org/W2097965245","https://openalex.org/W1925901016","https://openalex.org/W1996596157","https://openalex.org/W1943224404","https://openalex.org/W1988273104","https://openalex.org/W2056452941","https://openalex.org/W2038853506","https://openalex.org/W2337707009"],"abstract_inverted_index":{"We":[0,104,164],"present":[1],"SignalGP,":[2],"a":[3,23,122],"new":[4],"genetic":[5],"programming":[6,14,21],"(GP)":[7],"technique":[8],"designed":[9],"to":[10,42,130,141],"incorporate":[11],"the":[12,29,49,83,86,99,106,109,154],"event-driven":[13,68,110],"paradigm":[15,111],"into":[16,66],"computational":[17],"evolution's":[18],"toolbox.":[19],"Event-driven":[20],"is":[22,90,159],"software":[24],"design":[25],"philosophy":[26],"that":[27,132],"simplifies":[28],"development":[30],"of":[31,101,108,148],"reactive":[32],"programs":[33],"by":[34,60,127],"automatically":[35],"triggering":[36],"program":[37],"modules":[38],"(event-handlers)":[39],"in":[40,98,168],"response":[41],"external":[43],"events,":[44],"such":[45],"as":[46],"signals":[47],"from":[48,53],"environment":[50,118,155],"or":[51,144,156],"messages":[52],"other":[54,157],"programs.":[55],"SignalGP":[56,97,129,170],"incorporates":[57],"these":[58,149],"concepts":[59],"extending":[61],"existing":[62],"tag-based":[63],"referencing":[64],"techniques":[65],"an":[67,80],"context.":[69],"Both":[70],"events":[71,143],"and":[72,121],"functions":[73],"are":[74,133],"labeled":[75],"with":[76,85,153],"evolvable":[77],"tags;":[78],"when":[79],"event":[81],"occurs,":[82],"function":[84],"closest":[87],"matching":[88],"tag":[89],"triggered.":[91],"In":[92,146],"this":[93],"work,":[94],"we":[95],"apply":[96],"context":[100],"linear":[102,176],"GP.":[103],"demonstrate":[105],"value":[107],"using":[112],"two":[113],"distinct":[114],"test":[115],"problems":[116],"(an":[117],"coordination":[119],"problem":[120],"distributed":[123],"leader":[124],"election":[125],"problem)":[126],"comparing":[128],"variants":[131],"otherwise":[134],"identical,":[135],"but":[136],"must":[137],"actively":[138],"use":[139],"sensors":[140],"process":[142],"messages.":[145],"each":[147],"problems,":[150],"rapid":[151],"interaction":[152],"agents":[158],"critical":[160],"for":[161],"maximizing":[162],"fitness.":[163],"also":[165],"discuss":[166],"ways":[167],"which":[169],"can":[171],"be":[172],"generalized":[173],"beyond":[174],"our":[175],"GP":[177],"implementation.":[178]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
