乐胖代购免代理版

{"id":"https://openalex.org/W3190366283","doi":"https://doi.org/10.24963/ijcai.2021/284","title":"Lifting Symmetry Breaking Constraints with Inductive Logic Programming","display_name":"Lifting Symmetry Breaking Constraints with Inductive Logic Programming","publication_year":2021,"publication_date":"2021-08-01","ids":{"openalex":"https://openalex.org/W3190366283","doi":"https://doi.org/10.24963/ijcai.2021/284","mag":"3190366283"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/284","pdf_url":"https://www.ijcai.org/proceedings/2021/0284.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.ijcai.org/proceedings/2021/0284.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000720206","display_name":"Alice Tarzariol","orcid":"https://orcid.org/0000-0001-6586-3649"},"institutions":[{"id":"https://openalex.org/I4210166741","display_name":"University of Klagenfurt","ror":"https://ror.org/05q9m0937","country_code":"AT","type":"education","lineage":["https://openalex.org/I4210166741"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Alice Tarzariol","raw_affiliation_strings":["University of Klagenfurt, Austria"],"affiliations":[{"raw_affiliation_string":"University of Klagenfurt, Austria","institution_ids":["https://openalex.org/I4210166741"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006066772","display_name":"Martin Gebser","orcid":"https://orcid.org/0000-0002-8010-4752"},"institutions":[{"id":"https://openalex.org/I4210166741","display_name":"University of Klagenfurt","ror":"https://ror.org/05q9m0937","country_code":"AT","type":"education","lineage":["https://openalex.org/I4210166741"]},{"id":"https://openalex.org/I4092182","display_name":"Graz University of Technology","ror":"https://ror.org/00d7xrm67","country_code":"AT","type":"education","lineage":["https://openalex.org/I4092182"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Martin Gebser","raw_affiliation_strings":["Graz University of Technology, Austria","University of Klagenfurt, Austria"],"affiliations":[{"raw_affiliation_string":"University of Klagenfurt, Austria","institution_ids":["https://openalex.org/I4210166741"]},{"raw_affiliation_string":"Graz University of Technology, Austria","institution_ids":["https://openalex.org/I4092182"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055185135","display_name":"Konstantin Schekotihin","orcid":"https://orcid.org/0000-0002-0286-0958"},"institutions":[{"id":"https://openalex.org/I4210166741","display_name":"University of Klagenfurt","ror":"https://ror.org/05q9m0937","country_code":"AT","type":"education","lineage":["https://openalex.org/I4210166741"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Konstantin Schekotihin","raw_affiliation_strings":["University of Klagenfurt, Austria"],"affiliations":[{"raw_affiliation_string":"University of Klagenfurt, Austria","institution_ids":["https://openalex.org/I4210166741"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.508,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":5,"citation_normalized_percentile":{"value":0.542866,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":78,"max":81},"biblio":{"volume":null,"issue":null,"first_page":"2062","last_page":"2068"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.9999,"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":0.9999,"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":0.9969,"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/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.9964,"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/inductive-logic-programming","display_name":"Inductive logic programming","score":0.76532304},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.6455957},{"id":"https://openalex.org/keywords/answer-set-programming","display_name":"Answer Set Programming","score":0.6187406},{"id":"https://openalex.org/keywords/boolean-satisfiability-problem","display_name":"Boolean satisfiability problem","score":0.48184502}],"concepts":[{"id":"https://openalex.org/C2779382394","wikidata":"https://www.wikidata.org/wiki/Q1464197","display_name":"Inductive logic programming","level":2,"score":0.76532304},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.64641374},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.6455957},{"id":"https://openalex.org/C182620335","wikidata":"https://www.wikidata.org/wiki/Q2852531","display_name":"Answer set programming","level":3,"score":0.6187406},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.61312455},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.59125036},{"id":"https://openalex.org/C69562738","wikidata":"https://www.wikidata.org/wiki/Q200694","display_name":"Propositional calculus","level":2,"score":0.5035178},{"id":"https://openalex.org/C204795200","wikidata":"https://www.wikidata.org/wiki/Q903282","display_name":"Symmetry breaking","level":2,"score":0.50244975},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.48547557},{"id":"https://openalex.org/C6943359","wikidata":"https://www.wikidata.org/wiki/Q875276","display_name":"Boolean satisfiability problem","level":2,"score":0.48184502},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.47663534},{"id":"https://openalex.org/C50033165","wikidata":"https://www.wikidata.org/wiki/Q15712089","display_name":"Inductive programming","level":3,"score":0.44436508},{"id":"https://openalex.org/C128838566","wikidata":"https://www.wikidata.org/wiki/Q275603","display_name":"Logic programming","level":2,"score":0.381772},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.37495226},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31075567},{"id":"https://openalex.org/C34165917","wikidata":"https://www.wikidata.org/wiki/Q188267","display_name":"Programming paradigm","level":2,"score":0.31048608},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30786502},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2659542},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.21933961},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/284","pdf_url":"https://www.ijcai.org/proceedings/2021/0284.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2112.11806","pdf_url":"https://arxiv.org/pdf/2112.11806","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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.24963/ijcai.2021/284","pdf_url":"https://www.ijcai.org/proceedings/2021/0284.pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":20,"referenced_works":["https://openalex.org/W1504010403","https://openalex.org/W1527987966","https://openalex.org/W1548885290","https://openalex.org/W1555879612","https://openalex.org/W1572344581","https://openalex.org/W1643852869","https://openalex.org/W2016578044","https://openalex.org/W2076698873","https://openalex.org/W2119831128","https://openalex.org/W2135573930","https://openalex.org/W228104253","https://openalex.org/W2407746648","https://openalex.org/W2808078614","https://openalex.org/W2950995869","https://openalex.org/W3042097880","https://openalex.org/W4254790956","https://openalex.org/W4287687868","https://openalex.org/W4323365614","https://openalex.org/W4361876935","https://openalex.org/W81665625"],"related_works":["https://openalex.org/W4238730903","https://openalex.org/W3102747178","https://openalex.org/W2964612035","https://openalex.org/W2377490698","https://openalex.org/W2363174784","https://openalex.org/W2245453572","https://openalex.org/W2111221376","https://openalex.org/W2041479715","https://openalex.org/W178618149","https://openalex.org/W1431464475"],"abstract_inverted_index":{"Efficient":[0],"omission":[1],"of":[2,13,25,38,87,94,108,121,143],"symmetric":[3],"solution":[4],"candidates":[5],"is":[6],"essential":[7],"for":[8,30,79,118],"combinatorial":[9,122],"problem":[10,33,46,89],"solving.":[11],"Most":[12],"the":[14,22,36,52,85,99,106,140],"existing":[15],"approaches":[16,40],"are":[17,55],"instance-specific":[18,116,135],"and":[19],"focus":[20],"on":[21],"automatic":[23],"computation":[24],"Symmetry":[26],"Breaking":[27],"Constraints":[28],"(SBCs)":[29],"each":[31],"given":[32],"instance.":[34],"However,":[35],"application":[37,142],"such":[39],"to":[41,66,111],"large-scale":[42],"instances":[43,90],"or":[44],"advanced":[45],"encodings":[47],"might":[48],"be":[49,61],"problematic.":[50],"Moreover,":[51],"computed":[53],"SBCs":[54,86,117],"propositional":[56],"and,":[57],"therefore,":[58],"can":[59],"neither":[60],"meaningfully":[62],"interpreted":[63],"nor":[64],"transferred":[65],"other":[67],"instances.":[68],"To":[69],"overcome":[70],"these":[71],"limitations,":[72],"we":[73],"introduce":[74],"a":[75,92,119,133,144],"new":[76],"model-oriented":[77],"approach":[78,130],"Answer":[80],"Set":[81],"Programming":[82,102],"that":[83,128],"lifts":[84],"small":[88],"into":[91],"set":[93],"interpretable":[95],"first-order":[96],"constraints":[97,114],"using":[98],"Inductive":[100],"Logic":[101],"paradigm.":[103],"Experiments":[104],"demonstrate":[105],"ability":[107],"our":[109,129],"framework":[110],"learn":[112],"general":[113],"from":[115],"collection":[120],"problems.":[123],"The":[124],"obtained":[125],"results":[126],"indicate":[127],"significantly":[131],"outperforms":[132],"state-of-the-art":[134],"method":[136],"as":[137,139],"well":[138],"direct":[141],"solver.":[145]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3190366283","counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4}],"updated_date":"2025-01-04T14:43:02.948103","created_date":"2021-08-16"}