{"id":"https://openalex.org/W160199655","doi":null,"title":"Nonmonotonic inferences in neural networks","display_name":"Nonmonotonic inferences in neural networks","publication_year":1991,"publication_date":"1991-04-22","ids":{"openalex":"https://openalex.org/W160199655","mag":"160199655"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.2.618","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.2.618","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.lucs.lu.se/People/Christian.Balkenius/PDF/Balkenius.Gardenfors.LUCS03.1991.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5018319287","display_name":"Christian Balkenius","orcid":"https://orcid.org/0000-0002-1478-6329","observed_orcids":["https://orcid.org/0000-0002-1478-6329"]},"institutions":[{"id":"https://openalex.org/I187531555","display_name":"Lund University","ror":"https://ror.org/012a77v79","country_code":"SE","type":"education","lineage":["https://openalex.org/I187531555"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Christian Balkenius","raw_affiliation_strings":["Lund Univ.#TAB#"],"raw_orcid":"https://orcid.org/0000-0002-1478-6329","affiliations":[{"raw_affiliation_string":"Lund Univ.#TAB#","institution_ids":["https://openalex.org/I187531555"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047434698","display_name":"Peter G\u00e4rdenfors","orcid":"https://orcid.org/0000-0001-7423-828X","observed_orcids":["https://orcid.org/0000-0001-7423-828X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Peter G\u00e4rdenfors","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1222,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.78249934,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"32","last_page":"39"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.7773000001907349,"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/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.7773000001907349,"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":0.16419999301433563,"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/T11727","display_name":"Advanced Algebra and Logic","score":0.013199999928474426,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/non-monotonic-reasoning","display_name":"nonmonotonic reasoning","score":0.9639999866485596},{"id":"https://openalex.org/keywords/nonmonotonic-logic","display_name":"nonmonotonic logic","score":0.8880000114440918},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.9559999704360962},{"id":"https://openalex.org/keywords/resonance-function","display_name":"resonance function","score":0.843999981880188},{"id":"https://openalex.org/keywords/symbolic-features","display_name":"symbolic features","score":0.6700000166893005},{"id":"https://openalex.org/keywords/inference-relations","display_name":"inference relations","score":0.4749999940395355}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7824346423149109},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7220635414123535},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.7170907855033875},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.656521737575531},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6003270149230957},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5613787174224854},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.42697668075561523},{"id":"https://openalex.org/C3746660","wikidata":"https://www.wikidata.org/wiki/Q1068763","display_name":"Rule of inference","level":2,"score":0.4206693172454834},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3998260796070099},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28509604930877686},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.11938005685806274},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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":4,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.2.618","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.2.618","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.lucs.lu.se/People/Christian.Balkenius/PDF/Balkenius.Gardenfors.LUCS03.1991.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.207.544","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.207.544","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.lucs.lu.se/LUCS/003/LUCS.003.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.39.6177","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.39.6177","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.lucs.lu.se/ftp/pub/LUCS_Studies/LUCS03.ps","raw_type":"text"},{"id":"mag:160199655","doi":null,"is_oa":false,"landing_page_url":"https://www.lucs.lu.se/LUCS/003/LUCS.003.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306420732","display_name":"Principles of Knowledge Representation and Reasoning","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Principles of Knowledge Representation and Reasoning","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2184677","https://openalex.org/W76465216","https://openalex.org/W123366752","https://openalex.org/W145218744","https://openalex.org/W1015831083","https://openalex.org/W1500488100","https://openalex.org/W1506514354","https://openalex.org/W1514520389","https://openalex.org/W1524855076","https://openalex.org/W1556754984","https://openalex.org/W1566892080","https://openalex.org/W1615481983","https://openalex.org/W1663018970","https://openalex.org/W1761876784","https://openalex.org/W1813659000","https://openalex.org/W1995341919","https://openalex.org/W1996773027","https://openalex.org/W2013494846","https://openalex.org/W2042492924","https://openalex.org/W2062210787","https://openalex.org/W2070715309","https://openalex.org/W2071772938","https://openalex.org/W2087422165","https://openalex.org/W2112246162","https://openalex.org/W2112861187","https://openalex.org/W2116871363","https://openalex.org/W2118373646","https://openalex.org/W2122988375","https://openalex.org/W2128084896","https://openalex.org/W2157904933","https://openalex.org/W2175268987","https://openalex.org/W2985956097"],"related_works":["https://openalex.org/W7097103739","https://openalex.org/W2606220775","https://openalex.org/W1835550096","https://openalex.org/W7165943052","https://openalex.org/W3183553246","https://openalex.org/W2589105272","https://openalex.org/W2128018146","https://openalex.org/W18887467","https://openalex.org/W7099619115","https://openalex.org/W2062500851"],"abstract_inverted_index":{"We":[0],"show":[1],"that":[2],"by":[3],"introducing":[4],"an":[5,62],"appropriate":[6],"schema":[7],"concept":[8],"and":[9,36],"exploiting":[10],"the":[11,34,37,40,48,59,71],"higher-level":[12],"features":[13,67],"of":[14,29,39,47,64,74],"a":[15,19,27,75],"resonance":[16],"function":[17],"in":[18,58],"neural":[20,76],"network":[21],"it":[22],"is":[23,61],"possible":[24],"to":[25],"define":[26],"form":[28],"nonmonotonic":[30,53],"inference":[31,43],"relation":[32,44],"between":[33],"input":[35],"output":[38],"network.":[41,77],"This":[42],"satisfies":[45],"some":[46],"most":[49],"fundamental":[50],"postulates":[51],"for":[52],"logics.":[54],"The":[55],"construction":[56],"presented":[57],"paper":[60],"example":[63],"how":[65],"symbolic":[66],"can":[68],"emerge":[69],"from":[70],"subsymbolic":[72],"level":[73],"1":[78]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2016-06-24T00:00:00"}
