{"id":"https://openalex.org/W4415324916","doi":"https://doi.org/10.1007/978-3-032-08333-3_5","title":"Evaluating Argumentation Graphs as\u00a0Global Explainable Surrogate Models for\u00a0Dense Neural Networks and\u00a0Their Comparison with\u00a0Decision Trees","display_name":"Evaluating Argumentation Graphs as\u00a0Global Explainable Surrogate Models for\u00a0Dense Neural Networks and\u00a0Their Comparison with\u00a0Decision Trees","publication_year":2025,"publication_date":"2025-10-18","ids":{"openalex":"https://openalex.org/W4415324916","doi":"https://doi.org/10.1007/978-3-032-08333-3_5"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-032-08333-3_5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-032-08333-3_5","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-032-08333-3_5.pdf","source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Computer and Information Science","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/978-3-032-08333-3_5.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5080078268","display_name":"Giulia Vilone","orcid":"https://orcid.org/0000-0002-4401-5664"},"institutions":[{"id":"https://openalex.org/I117023288","display_name":"Analog Devices (United States)","ror":"https://ror.org/01545pm61","country_code":"US","type":"company","lineage":["https://openalex.org/I117023288"]},{"id":"https://openalex.org/I4210144925","display_name":"Technological University Dublin","ror":"https://ror.org/04t0qbt32","country_code":"IE","type":"education","lineage":["https://openalex.org/I4210144925"]}],"countries":["IE","US"],"is_corresponding":true,"raw_author_name":"Giulia Vilone","raw_affiliation_strings":["Analog Devices International, Wilmington, USA","The Centre of Explainable Artificial Intelligence, Technological University Dublin, Dublin, Republic of Ireland"],"raw_orcid":"https://orcid.org/0000-0002-4401-5664","affiliations":[{"raw_affiliation_string":"Analog Devices International, Wilmington, USA","institution_ids":["https://openalex.org/I117023288"]},{"raw_affiliation_string":"The Centre of Explainable Artificial Intelligence, Technological University Dublin, Dublin, Republic of Ireland","institution_ids":["https://openalex.org/I4210144925"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024458365","display_name":"Luca Longo","orcid":"https://orcid.org/0000-0002-2718-5426"},"institutions":[{"id":"https://openalex.org/I4210121405","display_name":"Centre for Artificial Intelligence and Robotics","ror":"https://ror.org/01xnbq218","country_code":"IN","type":"facility","lineage":["https://openalex.org/I1340206300","https://openalex.org/I4210121405","https://openalex.org/I4210150591"]},{"id":"https://openalex.org/I4210144925","display_name":"Technological University Dublin","ror":"https://ror.org/04t0qbt32","country_code":"IE","type":"education","lineage":["https://openalex.org/I4210144925"]}],"countries":["IE","IN"],"is_corresponding":false,"raw_author_name":"Luca Longo","raw_affiliation_strings":["Artificial Intelligence and Cognitive Load Research Lab, Dublin, Ireland","Technological University Dublin, Dublin, Ireland","The Centre of Explainable Artificial Intelligence, Technological University Dublin, Dublin, Republic of Ireland"],"raw_orcid":"https://orcid.org/0000-0002-2718-5426","affiliations":[{"raw_affiliation_string":"Artificial Intelligence and Cognitive Load Research Lab, Dublin, Ireland","institution_ids":["https://openalex.org/I4210121405"]},{"raw_affiliation_string":"Technological University Dublin, Dublin, Ireland","institution_ids":["https://openalex.org/I4210144925"]},{"raw_affiliation_string":"The Centre of Explainable Artificial Intelligence, Technological University Dublin, Dublin, Republic of Ireland","institution_ids":["https://openalex.org/I4210144925"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5080078268"],"corresponding_institution_ids":["https://openalex.org/I117023288","https://openalex.org/I4210144925"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.47651889,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"89","last_page":"112"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9994000196456909,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9994000196456909,"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/T10028","display_name":"Topic Modeling","score":0.9879000186920166,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.986299991607666,"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/argumentation-theory","display_name":"Argumentation theory","score":0.8665000200271606},{"id":"https://openalex.org/keywords/fraction","display_name":"Fraction (chemistry)","score":0.5669999718666077},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5478000044822693},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4392000138759613},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43540000915527344},{"id":"https://openalex.org/keywords/dialectic","display_name":"Dialectic","score":0.4009000062942505},{"id":"https://openalex.org/keywords/outcome","display_name":"Outcome (game theory)","score":0.3628000020980835}],"concepts":[{"id":"https://openalex.org/C65059942","wikidata":"https://www.wikidata.org/wiki/Q270105","display_name":"Argumentation theory","level":2,"score":0.8665000200271606},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7347000241279602},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6273999810218811},{"id":"https://openalex.org/C149629883","wikidata":"https://www.wikidata.org/wiki/Q660926","display_name":"Fraction (chemistry)","level":2,"score":0.5669999718666077},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5478000044822693},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5029000043869019},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4392000138759613},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43540000915527344},{"id":"https://openalex.org/C13184196","wikidata":"https://www.wikidata.org/wiki/Q9453","display_name":"Dialectic","level":2,"score":0.4009000062942505},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3763999938964844},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.3628000020980835},{"id":"https://openalex.org/C115988155","wikidata":"https://www.wikidata.org/wiki/Q3262192","display_name":"Decision problem","level":2,"score":0.33660000562667847},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.30070000886917114},{"id":"https://openalex.org/C2779607372","wikidata":"https://www.wikidata.org/wiki/Q4789757","display_name":"Argumentation framework","level":3,"score":0.29899999499320984},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.29660001397132874},{"id":"https://openalex.org/C176181172","wikidata":"https://www.wikidata.org/wiki/Q3490301","display_name":"Nondeterministic algorithm","level":2,"score":0.27570000290870667},{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.275299996137619},{"id":"https://openalex.org/C59656382","wikidata":"https://www.wikidata.org/wiki/Q191536","display_name":"Conjunction (astronomy)","level":2,"score":0.27250000834465027},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.26980000734329224}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-032-08333-3_5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-032-08333-3_5","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-032-08333-3_5.pdf","source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Computer and Information Science","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-032-08333-3_5","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-032-08333-3_5","pdf_url":"https://link.springer.com/content/pdf/10.1007/978-3-032-08333-3_5.pdf","source":{"id":"https://openalex.org/S2764900261","display_name":"Communications in computer and information science","issn_l":"1865-0929","issn":["1865-0929","1865-0937"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Computer and Information Science","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4415324916.pdf","grobid_xml":"https://content.openalex.org/works/W4415324916.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W144712322","https://openalex.org/W157848010","https://openalex.org/W1825730661","https://openalex.org/W1975303601","https://openalex.org/W1987111416","https://openalex.org/W2004842269","https://openalex.org/W2006626130","https://openalex.org/W2042442229","https://openalex.org/W2048628873","https://openalex.org/W2088166168","https://openalex.org/W2096993447","https://openalex.org/W2104126268","https://openalex.org/W2148143831","https://openalex.org/W2156092566","https://openalex.org/W2157204637","https://openalex.org/W2160547131","https://openalex.org/W2164191359","https://openalex.org/W2367397349","https://openalex.org/W2560263412","https://openalex.org/W2578265862","https://openalex.org/W2586509828","https://openalex.org/W2783054479","https://openalex.org/W2809925683","https://openalex.org/W2962790223","https://openalex.org/W2963998044","https://openalex.org/W2999991706","https://openalex.org/W3001193759","https://openalex.org/W3021816335","https://openalex.org/W3033988828","https://openalex.org/W3040887543","https://openalex.org/W3093718041","https://openalex.org/W3095444354","https://openalex.org/W3096088255","https://openalex.org/W3144635834","https://openalex.org/W3159029582","https://openalex.org/W3187293469","https://openalex.org/W3210818730","https://openalex.org/W4200387753","https://openalex.org/W4220941667","https://openalex.org/W4256682192","https://openalex.org/W4319878933","https://openalex.org/W4391848979","https://openalex.org/W4402481124"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"Rule-based":[1],"methods":[2],"are":[3,20,115,121,168,193,207],"often":[4],"used":[5,22,127],"to":[6,73,158,210],"learn":[7],"surrogates":[8],"of":[9,77,110,138,162,181,187],"black-box":[10,164],"models":[11,130],"within":[12],"Explainable":[13],"Artificial":[14],"Intelligence.":[15],"Decision":[16],"trees,":[17],"among":[18,59],"others,":[19],"routinely":[21],"for":[23,86,102,131],"such":[24,47,75,142],"purposes":[25],"and":[26,42,57,113,150,189,232],"inherently":[27],"possess":[28],"more":[29,223],"explainability.":[30],"Unfortunately,":[31],"they":[32],"might":[33],"be":[34,126,145],"convoluted":[35],"in":[36,141],"large-scale":[37],"scenarios,":[38],"with":[39,147,196],"large":[40],"sizes":[41],"many":[43],"branches,":[44],"thus":[45],"hampering":[46],"inherent":[48],"property.":[49],"They":[50,192],"also":[51,194],"fail":[52],"at":[53],"modelling":[54,235],"contrastive":[55],"information":[56],"conflictuality":[58],"rules.":[60],"This":[61],"research":[62],"proposes":[63,83],"a":[64,84,100,154],"novel":[65],"method":[66],"based":[67],"on":[68],"computational":[69],"argumentation":[70,118,205,227],"that":[71,124,226],"aims":[72],"solve":[74],"shortcomings":[76],"decision":[78,200,211],"trees.":[79,201],"In":[80],"particular,":[81],"it":[82,220],"mechanism":[85],"automatically":[87,103],"extracting":[88,104],"rules":[89],"from":[90],"trained":[91],"dense":[92],"neural":[93],"networks,":[94],"the":[95,108,139,159,163,197],"arguments.":[96],"It":[97],"then":[98,151],"describes":[99],"procedure":[101],"their":[105],"conflicts":[106],"using":[107],"notion":[109],"attacks.":[111],"Arguments":[112],"attacks":[114],"integrated":[116],"into":[117],"frameworks,":[119],"which":[120],"directed":[122],"graphs":[123,143,167,206,228],"can":[125,144],"as":[128],"surrogate":[129,199],"explaining":[132],"black":[133],"boxes.":[134],"The":[135],"dialectical":[136],"status":[137],"arguments":[140],"evaluated":[146,170],"formal":[148],"semantics":[149],"aggregated":[152],"toward":[153],"rational":[155],"outcome":[156],"corresponding":[157,198],"target":[160],"classes":[161,188],"models.":[165],"Such":[166],"empirically":[169],"against":[171],"eight":[172],"objective":[173,217],"metrics,":[174],"including":[175],"completeness,":[176],"correctness,":[177],"fidelity,":[178],"robustness,":[179],"number":[180],"rules,":[182],"average":[183],"rule":[184],"length,":[185],"fraction":[186,190],"overlap.":[191],"compared":[195],"Findings":[202],"show":[203],"how":[204],"highly":[208],"comparable":[209],"trees":[212],"regarding":[213],"explainability":[214],"across":[215],"selected":[216],"metrics.":[218],"However,":[219],"is":[221],"potentially":[222],"appealing":[224],"given":[225],"offer":[229],"richer":[230],"justification":[231],"explanations":[233],"by":[234],"rules\u2019":[236],"conflictuality.":[237]},"counts_by_year":[],"updated_date":"2026-03-08T06:56:09.383167","created_date":"2025-10-19T00:00:00"}