{"id":"https://openalex.org/W4414360230","doi":"https://doi.org/10.24963/ijcai.2025/868","title":"Incorporating Legal Logic into Deep Learning: An Intelligent Approach to Probation Prediction","display_name":"Incorporating Legal Logic into Deep Learning: An Intelligent Approach to Probation Prediction","publication_year":2025,"publication_date":"2025-09-01","ids":{"openalex":"https://openalex.org/W4414360230","doi":"https://doi.org/10.24963/ijcai.2025/868"},"language":"en","primary_location":{"id":"doi:10.24963/ijcai.2025/868","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/868","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5100432297","display_name":"Qinghua Wang","orcid":"https://orcid.org/0000-0002-5328-7397"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qinghua Wang","raw_affiliation_strings":["Shandong University"],"affiliations":[{"raw_affiliation_string":"Shandong University","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100437327","display_name":"Xu Zhang","orcid":"https://orcid.org/0009-0005-2390-1308"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Zhang","raw_affiliation_strings":["Shandong University"],"affiliations":[{"raw_affiliation_string":"Shandong University","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011503144","display_name":"Lingyan Yang","orcid":"https://orcid.org/0009-0000-9146-5281"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingyan Yang","raw_affiliation_strings":["Shandong University at Weihai"],"affiliations":[{"raw_affiliation_string":"Shandong University at Weihai","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101917580","display_name":"Rui Shao","orcid":"https://orcid.org/0000-0002-7388-851X"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Shao","raw_affiliation_strings":["Shandong University"],"affiliations":[{"raw_affiliation_string":"Shandong University","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037763576","display_name":"Bonan Wang","orcid":"https://orcid.org/0000-0003-0413-886X"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Bonan Wang","raw_affiliation_strings":["University of Macau"],"affiliations":[{"raw_affiliation_string":"University of Macau","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100321381","display_name":"Fang Wang","orcid":"https://orcid.org/0000-0001-9986-0948"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Wang","raw_affiliation_strings":["Shandong University"],"affiliations":[{"raw_affiliation_string":"Shandong University","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088741789","display_name":"Cunquan Qu","orcid":"https://orcid.org/0000-0001-8090-2538"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cunquan Qu","raw_affiliation_strings":["Shandong University"],"affiliations":[{"raw_affiliation_string":"Shandong University","institution_ids":["https://openalex.org/I154099455"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100432297"],"corresponding_institution_ids":["https://openalex.org/I154099455"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.3083699,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"7804","last_page":"7812"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13643","display_name":"Artificial Intelligence in Law","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13643","display_name":"Artificial Intelligence in Law","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/3320","display_name":"Political Science and International Relations"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12755","display_name":"Legal Education and Practice Innovations","score":0.9136000275611877,"subfield":{"id":"https://openalex.org/subfields/3308","display_name":"Law"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11762","display_name":"Law, Economics, and Judicial Systems","score":0.9039000272750854,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/underpinning","display_name":"Underpinning","score":0.6675999760627747},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.6162999868392944},{"id":"https://openalex.org/keywords/criminal-justice","display_name":"Criminal justice","score":0.6159999966621399},{"id":"https://openalex.org/keywords/logic-model","display_name":"Logic model","score":0.5472999811172485},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.3779999911785126},{"id":"https://openalex.org/keywords/institution","display_name":"Institution","score":0.37070000171661377},{"id":"https://openalex.org/keywords/economic-justice","display_name":"Economic Justice","score":0.35089999437332153}],"concepts":[{"id":"https://openalex.org/C2780871342","wikidata":"https://www.wikidata.org/wiki/Q7883752","display_name":"Underpinning","level":2,"score":0.6675999760627747},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.6162999868392944},{"id":"https://openalex.org/C102587632","wikidata":"https://www.wikidata.org/wiki/Q117488","display_name":"Criminal justice","level":2,"score":0.6159999966621399},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5476999878883362},{"id":"https://openalex.org/C2775940519","wikidata":"https://www.wikidata.org/wiki/Q17067742","display_name":"Logic model","level":2,"score":0.5472999811172485},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.3779999911785126},{"id":"https://openalex.org/C2780510313","wikidata":"https://www.wikidata.org/wiki/Q178706","display_name":"Institution","level":2,"score":0.37070000171661377},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36970001459121704},{"id":"https://openalex.org/C139621336","wikidata":"https://www.wikidata.org/wiki/Q3190382","display_name":"Economic Justice","level":2,"score":0.35089999437332153},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.3382999897003174},{"id":"https://openalex.org/C2910942459","wikidata":"https://www.wikidata.org/wiki/Q83267","display_name":"Criminal behaviour","level":2,"score":0.337799996137619},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.3019999861717224},{"id":"https://openalex.org/C113839178","wikidata":"https://www.wikidata.org/wiki/Q7631418","display_name":"Subjective logic","level":3,"score":0.2888999879360199},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.2782000005245209},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.2727000117301941},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.26969999074935913},{"id":"https://openalex.org/C100505606","wikidata":"https://www.wikidata.org/wiki/Q6302997","display_name":"Judicial opinion","level":2,"score":0.2655999958515167},{"id":"https://openalex.org/C55587333","wikidata":"https://www.wikidata.org/wiki/Q1133029","display_name":"Engineering ethics","level":1,"score":0.26170000433921814},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.26109999418258667},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.25859999656677246},{"id":"https://openalex.org/C202565627","wikidata":"https://www.wikidata.org/wiki/Q146491","display_name":"Criminal law","level":2,"score":0.2565999925136566},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2531999945640564},{"id":"https://openalex.org/C73484699","wikidata":"https://www.wikidata.org/wiki/Q161733","display_name":"Criminology","level":1,"score":0.2529999911785126},{"id":"https://openalex.org/C127627568","wikidata":"https://www.wikidata.org/wiki/Q1639361","display_name":"Sociotechnical system","level":2,"score":0.25110000371932983}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.24963/ijcai.2025/868","is_oa":false,"landing_page_url":"https://doi.org/10.24963/ijcai.2025/868","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Probation":[0,139],"is":[1,144],"a":[2,56,92,114,130],"crucial":[3],"institution":[4],"in":[5,70,107,146],"modern":[6],"criminal":[7,61],"law,":[8],"embodying":[9],"the":[10,19,27,43,67,80,136,147,153,162,167,177,183,186],"principles":[11],"of":[12,22,59,66,150,156,176,185],"fairness":[13],"and":[14,40,63,122,152,173],"justice":[15],"while":[16],"contributing":[17],"to":[18],"harmonious":[20],"development":[21],"society.":[23],"Despite":[24],"its":[25],"importance,":[26],"current":[28],"Intelligent":[29],"Judicial":[30],"Assistant":[31],"System":[32],"(IJAS)":[33],"lacks":[34],"dedicated":[35],"methods":[36],"for":[37,103],"probation":[38,47,53,104,116,123,132,151,163],"prediction,":[39,105],"research":[41,69],"on":[42,74,161],"underlying":[44,178],"factors":[45],"influencing":[46],"eligibility":[48,54],"remains":[49],"limited.":[50],"In":[51],"addition,":[52],"requires":[55],"comprehensive":[57],"analysis":[58,175],"both":[60],"circumstances":[62],"remorse.":[64],"Much":[65],"existing":[68],"IJAS":[71],"relies":[72],"primarily":[73],"data-driven":[75],"methodologies,":[76],"which":[77,143],"often":[78],"overlooks":[79],"legal":[81,97,124,148,179],"logic":[82,98,149,180],"underpinning":[83],"judicial":[84],"decision-making.":[85],"To":[86],"address":[87],"this":[88],"gap,":[89],"we":[90,112,128],"propose":[91],"novel":[93],"approach":[94],"that":[95,118,166],"integrates":[96],"into":[99],"deep":[100],"learning":[101],"models":[102],"implemented":[106],"three":[108],"distinct":[109,131],"stages.":[110],"First,":[111],"construct":[113],"specialized":[115],"dataset":[117,164],"includes":[119],"fact":[120],"descriptions":[121],"elements":[125],"(PLEs).":[126],"Second,":[127],"design":[129],"prediction":[133],"model":[134,169],"named":[135],"Multi-Task":[137],"Dual-Theory":[138],"Prediction":[140],"Model":[141],"(MT-DT),":[142],"grounded":[145],"Dual-Track":[154],"Theory":[155],"Punishment.":[157],"Finally,":[158],"our":[159],"experiments":[160],"demonstrate":[165],"MT-DT":[168],"outperforms":[170],"baseline":[171],"models,":[172],"an":[174],"further":[181],"validates":[182],"effectiveness":[184],"proposed":[187],"approach.":[188]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}