{"id":"https://openalex.org/W7138065579","doi":"https://doi.org/10.1609/aaai.v40i23.38996","title":"Consistency-based Abductive Reasoning over Perceptual Errors of Multiple Pre-trained Models in Novel Environments","display_name":"Consistency-based Abductive Reasoning over Perceptual Errors of Multiple Pre-trained Models in Novel Environments","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7138065579","doi":"https://doi.org/10.1609/aaai.v40i23.38996"},"language":null,"primary_location":{"id":"doi:10.1609/aaai.v40i23.38996","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i23.38996","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/38996/42958","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/38996/42958","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129693280","display_name":"Mario Leiva","orcid":null},"institutions":[{"id":"https://openalex.org/I56858762","display_name":"Universidad Nacional del Sur","ror":"https://ror.org/028crwz56","country_code":"AR","type":"education","lineage":["https://openalex.org/I56858762"]}],"countries":["AR"],"is_corresponding":true,"raw_author_name":"Mario Leiva","raw_affiliation_strings":["DCIC, Universidad Nacional del Sur (UNS) & ICIC (UNS-CONICET), Bah\u00eda Blanca, Argentina"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DCIC, Universidad Nacional del Sur (UNS) & ICIC (UNS-CONICET), Bah\u00eda Blanca, Argentina","institution_ids":["https://openalex.org/I56858762"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073229717","display_name":"Noel Ngu","orcid":null},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Noel Ngu","raw_affiliation_strings":["Arizona State University, Tempe, AZ USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, AZ USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081829347","display_name":"Joshua Shay Kricheli","orcid":"https://orcid.org/0000-0001-8398-6378"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joshua Shay Kricheli","raw_affiliation_strings":["Syracuse University, Syracuse, NY USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Syracuse University, Syracuse, NY USA","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5099111519","display_name":"Aditya Taparia","orcid":"https://orcid.org/0009-0004-4603-0085"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aditya Taparia","raw_affiliation_strings":["Arizona State University, Tempe, AZ USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, AZ USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043482412","display_name":"Ransalu Senanayake","orcid":null},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ransalu Senanayake","raw_affiliation_strings":["Arizona State University, Tempe, AZ USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, AZ USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129735668","display_name":"Paulo Shakarian","orcid":null},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paulo Shakarian","raw_affiliation_strings":["Syracuse University, Syracuse, NY USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Syracuse University, Syracuse, NY USA","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032194186","display_name":"Nathaniel D. Bastian","orcid":"https://orcid.org/0000-0001-9957-2778"},"institutions":[{"id":"https://openalex.org/I192545095","display_name":"United States Military Academy","ror":"https://ror.org/01jepya76","country_code":"US","type":"education","lineage":["https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I192545095","https://openalex.org/I4210088792"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nathaniel D. Bastian","raw_affiliation_strings":["United States Military Academy, West Point, NY USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"United States Military Academy, West Point, NY USA","institution_ids":["https://openalex.org/I192545095"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110298102","display_name":"John Corcoran","orcid":null},"institutions":[{"id":"https://openalex.org/I859910249","display_name":"Systems Planning and Analysis (United States)","ror":"https://ror.org/00eqp4438","country_code":"US","type":"company","lineage":["https://openalex.org/I859910249"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Corcoran","raw_affiliation_strings":["Systems Planning & Analysis, Alexandria, VA USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Systems Planning & Analysis, Alexandria, VA USA","institution_ids":["https://openalex.org/I859910249"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079109547","display_name":"Gerardo I. Simari","orcid":"https://orcid.org/0000-0003-3185-4992"},"institutions":[{"id":"https://openalex.org/I56858762","display_name":"Universidad Nacional del Sur","ror":"https://ror.org/028crwz56","country_code":"AR","type":"education","lineage":["https://openalex.org/I56858762"]}],"countries":["AR"],"is_corresponding":false,"raw_author_name":"Gerardo Simari","raw_affiliation_strings":["DCIC, Universidad Nacional del Sur (UNS) & ICIC (UNS-CONICET), Bah\u00eda Blanca, Argentina"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DCIC, Universidad Nacional del Sur (UNS) & ICIC (UNS-CONICET), Bah\u00eda Blanca, Argentina","institution_ids":["https://openalex.org/I56858762"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5129693280"],"corresponding_institution_ids":["https://openalex.org/I56858762"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32904149,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"23","first_page":"19216","last_page":"19223"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.35359999537467957,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.35359999537467957,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.21199999749660492,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.13510000705718994,"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/heuristic","display_name":"Heuristic","score":0.5220000147819519},{"id":"https://openalex.org/keywords/abductive-reasoning","display_name":"Abductive reasoning","score":0.4796999990940094},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.44839999079704285},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.39559999108314514},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.39399999380111694},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.37119999527931213},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3319999873638153},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.3190000057220459}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7479000091552734},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.692300021648407},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6211000084877014},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5220000147819519},{"id":"https://openalex.org/C166088908","wikidata":"https://www.wikidata.org/wiki/Q308495","display_name":"Abductive reasoning","level":2,"score":0.4796999990940094},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.44839999079704285},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.39559999108314514},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.39399999380111694},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.37119999527931213},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3319999873638153},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.3190000057220459},{"id":"https://openalex.org/C2780310539","wikidata":"https://www.wikidata.org/wiki/Q12547192","display_name":"Imperfect","level":2,"score":0.3075000047683716},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.287200003862381},{"id":"https://openalex.org/C2779714256","wikidata":"https://www.wikidata.org/wiki/Q25305062","display_name":"Multiple Models","level":2,"score":0.27379998564720154},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.26499998569488525},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.2612000107765198},{"id":"https://openalex.org/C134752490","wikidata":"https://www.wikidata.org/wiki/Q374182","display_name":"Logical consequence","level":2,"score":0.26010000705718994},{"id":"https://openalex.org/C2779382394","wikidata":"https://www.wikidata.org/wiki/Q1464197","display_name":"Inductive logic programming","level":2,"score":0.2590999901294708},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.2565000057220459}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1609/aaai.v40i23.38996","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i23.38996","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/38996/42958","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v40i23.38996","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i23.38996","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/38996/42958","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.4540604054927826,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7138065579.pdf","grobid_xml":"https://content.openalex.org/works/W7138065579.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,93],"deployment":[1],"of":[2,41,63,81,91,119,129,197,223],"pre-trained":[3,52],"perception":[4],"models":[5,53,71,186,237],"in":[6,108,200,204,238],"novel":[7,240],"environments":[8],"often":[9,36],"leads":[10],"to":[11,15,28,88,213,230],"performance":[12],"degradation":[13],"due":[14],"distributional":[16,176],"shifts.":[17],"Although":[18],"recent":[19],"artificial":[20],"intelligence":[21],"approaches":[22],"for":[23,145,192],"metacognition":[24],"use":[25,222],"logical":[26,130],"rules":[27,101],"characterize":[29],"and":[30,65,96,158,187,202],"filter":[31],"model":[32,105,120],"errors,":[33],"improving":[34],"precision":[35],"comes":[37],"at":[38],"the":[39,47,61,79,97,127,214,221],"cost":[40],"reduced":[42],"recall.":[43],"This":[44],"paper":[45],"addresses":[46],"hypothesis":[48],"that":[49,180],"leveraging":[50],"multiple":[51,235],"can":[54],"mitigate":[55],"this":[56,146],"recall":[57],"reduction.":[58],"We":[59,112,141],"formulate":[60],"challenge":[62],"identifying":[64],"managing":[66],"conflicting":[67],"predictions":[68,95],"from":[69,103,133,234],"various":[70],"as":[72,226],"a":[73,109,138,168],"consistency-based":[74,224],"abduction":[75,225],"problem,":[76],"building":[77],"on":[78,154,167],"idea":[80],"abductive":[82,116],"learning":[83],"(ABL)":[84],"but":[85],"applying":[86],"it":[87],"test-time":[89],"instead":[90],"training.":[92],"input":[94],"learned":[98],"error":[99],"detection":[100],"derived":[102],"each":[104],"are":[106],"encoded":[107],"logic":[110],"program.":[111],"then":[113],"seek":[114],"an":[115,150,159,227],"explanation\u2014a":[117],"subset":[118],"predictions\u2014that":[121],"maximizes":[122],"prediction":[123],"coverage":[124],"while":[125],"ensuring":[126],"rate":[128],"inconsistencies":[131],"(derived":[132],"domain":[134],"constraints)":[135],"remains":[136],"below":[137],"specified":[139],"threshold.":[140],"propose":[142],"two":[143],"algorithms":[144],"knowledge":[147,233],"representation":[148],"task:":[149],"exact":[151],"method":[152],"based":[153],"Integer":[155],"Programming":[156],"(IP)":[157],"efficient":[160],"Heuristic":[161],"Search":[162],"(HS).":[163],"Through":[164],"extensive":[165],"experiments":[166],"simulated":[169],"aerial":[170],"imagery":[171],"dataset":[172],"featuring":[173],"controlled,":[174],"complex":[175],"shifts,":[177],"we":[178],"demonstrate":[179],"our":[181],"abduction-based":[182],"framework":[183],"outperforms":[184],"individual":[185,216],"standard":[188],"ensemble":[189],"baselines,":[190],"achieving,":[191],"instance,":[193],"average":[194],"relative":[195],"improvements":[196],"approximately":[198],"13.6%":[199],"F1-score":[201],"16.6%":[203],"accuracy":[205],"across":[206],"15":[207],"diverse":[208],"test":[209],"datasets":[210],"when":[211],"compared":[212],"best":[215],"model.":[217],"Our":[218],"results":[219],"validate":[220],"effective":[228],"mechanism":[229],"robustly":[231],"integrate":[232],"imperfect":[236],"challenging,":[239],"scenarios.":[241]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2026-03-18T00:00:00"}
