{"id":"https://openalex.org/W4385188674","doi":"https://doi.org/10.1145/3583133.3590568","title":"An Evolutionary Strategy for Automatic Hypotheses Generation inspired by Abductive Reasoning","display_name":"An Evolutionary Strategy for Automatic Hypotheses Generation inspired by Abductive Reasoning","publication_year":2023,"publication_date":"2023-07-15","ids":{"openalex":"https://openalex.org/W4385188674","doi":"https://doi.org/10.1145/3583133.3590568"},"language":"en","primary_location":{"id":"doi:10.1145/3583133.3590568","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3583133.3590568","pdf_url":"https://dl.acm.org/action/downloadSupplement?doi=10.1145%2F3583133.3590568&file=p235-pietrantuono-suppl.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Companion Conference on Genetic and Evolutionary Computation","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/action/downloadSupplement?doi=10.1145%2F3583133.3590568&file=p235-pietrantuono-suppl.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072680843","display_name":"Roberto Pietrantuono","orcid":"https://orcid.org/0000-0003-2449-1724"},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Roberto Pietrantuono","raw_affiliation_strings":["Universit\u00e0 degli Studi di Napoli Federico II, Naples, Italy"],"raw_orcid":"https://orcid.org/0000-0003-2449-1724","affiliations":[{"raw_affiliation_string":"Universit\u00e0 degli Studi di Napoli Federico II, Naples, Italy","institution_ids":["https://openalex.org/I71267560"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5072680843"],"corresponding_institution_ids":["https://openalex.org/I71267560"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12105361,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"235","last_page":"238"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.9965999722480774,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9965999722480774,"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/novelty","display_name":"Novelty","score":0.8197247982025146},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.7367405295372009},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6876273155212402},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6513451337814331},{"id":"https://openalex.org/keywords/abductive-reasoning","display_name":"Abductive reasoning","score":0.6100031733512878},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5768986344337463},{"id":"https://openalex.org/keywords/causal-inference","display_name":"Causal inference","score":0.55498868227005},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5517820119857788},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4932178854942322},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4915176331996918},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.4779524803161621},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1999833881855011},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.08367082476615906},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07402172684669495}],"concepts":[{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.8197247982025146},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.7367405295372009},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6876273155212402},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6513451337814331},{"id":"https://openalex.org/C166088908","wikidata":"https://www.wikidata.org/wiki/Q308495","display_name":"Abductive reasoning","level":2,"score":0.6100031733512878},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5768986344337463},{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.55498868227005},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5517820119857788},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4932178854942322},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4915176331996918},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.4779524803161621},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1999833881855011},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.08367082476615906},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07402172684669495},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3583133.3590568","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3583133.3590568","pdf_url":"https://dl.acm.org/action/downloadSupplement?doi=10.1145%2F3583133.3590568&file=p235-pietrantuono-suppl.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Companion Conference on Genetic and Evolutionary Computation","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3583133.3590568","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3583133.3590568","pdf_url":"https://dl.acm.org/action/downloadSupplement?doi=10.1145%2F3583133.3590568&file=p235-pietrantuono-suppl.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Companion Conference on Genetic and Evolutionary Computation","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385188674.pdf","grobid_xml":"https://content.openalex.org/works/W4385188674.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W1587294773","https://openalex.org/W1968020723","https://openalex.org/W1986781756","https://openalex.org/W2000825106","https://openalex.org/W2038420231","https://openalex.org/W2106334424","https://openalex.org/W2112912151","https://openalex.org/W2126105956","https://openalex.org/W2954891873","https://openalex.org/W3188665158"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W1974535693","https://openalex.org/W2957103736","https://openalex.org/W1994482010","https://openalex.org/W3080837820","https://openalex.org/W2393329165","https://openalex.org/W4293324570","https://openalex.org/W2294026308","https://openalex.org/W4386080695"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,16,27,51,65,97,106],"new":[4],"evolutionary":[5],"strategy":[6],"-":[7,12],"called":[8,20],"Evolutionary":[9],"Abduction":[10],"(EVA)":[11],"designed":[13],"to":[14,32,70,89],"target":[15],"class":[17],"of":[18,35,44,54,67],"problems":[19],"Combinatorial":[21],"Causal":[22],"Optimization":[23],"Problems":[24],"(CCOP).":[25],"In":[26],"CCOP,":[28],"the":[29],"goal":[30],"is":[31,47],"find":[33],"combinations":[34],"causes":[36],"that":[37],"best":[38],"explain":[39],"or":[40],"predict":[41],"an":[42],"effect":[43],"interest.":[45],"EVA":[46,63,100],"inspired":[48],"by":[49],"abduction,":[50],"powerful":[52],"form":[53],"causal":[55],"inference":[56],"employed":[57],"in":[58],"many":[59],"artificial":[60],"intelligence":[61],"tasks.":[62],"defines":[64],"set":[66],"abductive":[68],"operators":[69],"repeatedly":[71],"construct":[72,102],"hypothetical":[73],"cause-effect":[74],"instances,":[75],"and":[76],"then":[77],"automatically":[78],"assesses":[79],"their":[80,85],"plausibility":[81],"as":[82,84],"well":[83],"novelty":[86],"with":[87],"respect":[88],"already":[90],"known":[91],"instances.":[92],"Experiments":[93],"confirm":[94],"that,":[95],"given":[96,107],"background":[98],"knowledge,":[99],"can":[101],"better":[103],"hypotheses":[104],"for":[105,118],"effect,":[108],"outperforming":[109],"alternative":[110],"strategies":[111],"based":[112],"on":[113],"common":[114],"metaheurstics":[115],"previously":[116],"used":[117],"CCOP.":[119]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}