{"id":"https://openalex.org/W107933538","doi":null,"title":"Learning by Answer Sets.","display_name":"Learning by Answer Sets.","publication_year":2001,"publication_date":"2001-01-01","ids":{"openalex":"https://openalex.org/W107933538","mag":"107933538"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.10.8757","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.10.8757","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.sys.wakayama-u.ac.jp/~sakama/papers/aaai01.ps.gz","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/A5072948790","display_name":"Chiaki Sakama","orcid":"https://orcid.org/0000-0002-9966-3722","observed_orcids":["https://orcid.org/0000-0002-9966-3722"]},"institutions":[{"id":"https://openalex.org/I75198481","display_name":"Wakayama University","ror":"https://ror.org/05wr49d48","country_code":"JP","type":"education","lineage":["https://openalex.org/I75198481"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Chiaki Sakama","raw_affiliation_strings":["Wakayama University"],"raw_orcid":"https://orcid.org/0000-0002-9966-3722","affiliations":[{"raw_affiliation_string":"Wakayama University","institution_ids":["https://openalex.org/I75198481"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5072948790"],"corresponding_institution_ids":["https://openalex.org/I75198481"],"apc_list":null,"apc_paid":null,"fwci":1.2164,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.80529356,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.9901999831199646,"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":0.9901999831199646,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.0006000000284984708,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.0006000000284984708,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/answer-set-programming","display_name":"answer set programming","score":0.8579999804496765},{"id":"https://openalex.org/keywords/concept-learning","display_name":"concept learning","score":0.8569999933242798},{"id":"https://openalex.org/keywords/inductive-logic-programming","display_name":"inductive logic programming","score":0.9520000219345093},{"id":"https://openalex.org/keywords/rule-learning","display_name":"rule induction","score":0.9470000267028809},{"id":"https://openalex.org/keywords/background-theory","display_name":"background theory","score":0.7599999904632568},{"id":"https://openalex.org/keywords/positive-and-negative-examples","display_name":"positive and negative examples","score":0.7319999933242798},{"id":"https://openalex.org/keywords/explanation","display_name":"explanation","score":0.421999990940094}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4598037302494049},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3384513258934021}],"mesh":[],"locations_count":4,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.10.8757","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.10.8757","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.sys.wakayama-u.ac.jp/~sakama/papers/aaai01.ps.gz","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.332.7632","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.332.7632","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.aaai.org/Papers/Symposia/Spring/2001/SS-01-01/SS01-01-028.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.74.2989","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.74.2989","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.nmsu.edu/~tson/ASP2001/26.ps","raw_type":"text"},{"id":"mag:107933538","doi":null,"is_oa":false,"landing_page_url":"https://www.aaai.org/Papers/Symposia/Spring/2001/SS-01-01/SS01-01-028.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W65955847","https://openalex.org/W108833919","https://openalex.org/W1508231426","https://openalex.org/W1551453953","https://openalex.org/W1605113368","https://openalex.org/W1639901403","https://openalex.org/W2043198854","https://openalex.org/W2067679576","https://openalex.org/W2076698873","https://openalex.org/W2090798572","https://openalex.org/W2152131859","https://openalex.org/W2218431206","https://openalex.org/W2595762659"],"related_works":["https://openalex.org/W2149404336","https://openalex.org/W2888114470","https://openalex.org/W7099122839","https://openalex.org/W2974477827","https://openalex.org/W1431464475","https://openalex.org/W228104253","https://openalex.org/W1605113368","https://openalex.org/W7096264026","https://openalex.org/W7100461164","https://openalex.org/W7140179037"],"abstract_inverted_index":{"This":[0],"paper":[1,57],"presents":[2],"a":[3,23],"novel":[4],"application":[5],"of":[6,36,49,55,60,64,70],"answer":[7,34],"set":[8],"programming":[9,66],"to":[10],"concept":[11],"learning":[12],"in":[13,46,67],"nonmonotonic":[14,71],"logic":[15,20,51,65,73],"programs.":[16],"Given":[17],"an":[18],"extended":[19],"program":[21],"as":[22],"background":[24],"theory,":[25],"we":[26],"introduce":[27],"techniques":[28,59],"for":[29],"inducing":[30],"new":[31,41],"rules":[32,42],"using":[33],"sets":[35],"the":[37,47,68],"program.":[38],"The":[39,53],"produced":[40],"explain":[43],"positive/negative":[44],"examples":[45],"context":[48,69],"inductive":[50,72],"programming.":[52,74],"result":[54],"this":[56],"combines":[58],"two":[61],"important":[62],"fields":[63]},"counts_by_year":[{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
