{"id":"https://openalex.org/W4415427413","doi":"https://doi.org/10.3233/faia251451","title":"Neuro-Symbolic Framework Integrating Incremental Learning with LLM and Symbolic Reasoning on Unknown Objects","display_name":"Neuro-Symbolic Framework Integrating Incremental Learning with LLM and Symbolic Reasoning on Unknown Objects","publication_year":2025,"publication_date":"2025-10-21","ids":{"openalex":"https://openalex.org/W4415427413","doi":"https://doi.org/10.3233/faia251451"},"language":null,"primary_location":{"id":"doi:10.3233/faia251451","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia251451","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.3233/faia251451","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093550080","display_name":"Imad Eddine Kenai","orcid":null},"institutions":[{"id":"https://openalex.org/I197681013","display_name":"Universit\u00e9 Paris-Est Cr\u00e9teil","ror":"https://ror.org/05ggc9x40","country_code":"FR","type":"education","lineage":["https://openalex.org/I197681013"]},{"id":"https://openalex.org/I2800365227","display_name":"Paris-Est Sup","ror":"https://ror.org/0268ecp52","country_code":"FR","type":"education","lineage":["https://openalex.org/I2800365227"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Imad Eddine Kenai","raw_affiliation_strings":["LISSI Lab, University of Paris-Est Cr\u00e9teil, France"],"raw_orcid":"https://orcid.org/0009-0002-2525-1597","affiliations":[{"raw_affiliation_string":"LISSI Lab, University of Paris-Est Cr\u00e9teil, France","institution_ids":["https://openalex.org/I197681013","https://openalex.org/I2800365227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088884307","display_name":"Abdelghani Chibani","orcid":"https://orcid.org/0000-0001-7122-1271"},"institutions":[{"id":"https://openalex.org/I197681013","display_name":"Universit\u00e9 Paris-Est Cr\u00e9teil","ror":"https://ror.org/05ggc9x40","country_code":"FR","type":"education","lineage":["https://openalex.org/I197681013"]},{"id":"https://openalex.org/I2800365227","display_name":"Paris-Est Sup","ror":"https://ror.org/0268ecp52","country_code":"FR","type":"education","lineage":["https://openalex.org/I2800365227"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Abdelghani Chibani","raw_affiliation_strings":["LISSI Lab, University of Paris-Est Cr\u00e9teil, France"],"raw_orcid":"https://orcid.org/0000-0001-7122-1271","affiliations":[{"raw_affiliation_string":"LISSI Lab, University of Paris-Est Cr\u00e9teil, France","institution_ids":["https://openalex.org/I197681013","https://openalex.org/I2800365227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031271577","display_name":"Ferhat Attal","orcid":"https://orcid.org/0000-0003-1668-7620"},"institutions":[{"id":"https://openalex.org/I197681013","display_name":"Universit\u00e9 Paris-Est Cr\u00e9teil","ror":"https://ror.org/05ggc9x40","country_code":"FR","type":"education","lineage":["https://openalex.org/I197681013"]},{"id":"https://openalex.org/I2800365227","display_name":"Paris-Est Sup","ror":"https://ror.org/0268ecp52","country_code":"FR","type":"education","lineage":["https://openalex.org/I2800365227"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Ferhat Attal","raw_affiliation_strings":["LISSI Lab, University of Paris-Est Cr\u00e9teil, France"],"raw_orcid":"https://orcid.org/0000-0003-1668-7620","affiliations":[{"raw_affiliation_string":"LISSI Lab, University of Paris-Est Cr\u00e9teil, France","institution_ids":["https://openalex.org/I197681013","https://openalex.org/I2800365227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5119704136","display_name":"Ilies Chibane","orcid":null},"institutions":[{"id":"https://openalex.org/I197681013","display_name":"Universit\u00e9 Paris-Est Cr\u00e9teil","ror":"https://ror.org/05ggc9x40","country_code":"FR","type":"education","lineage":["https://openalex.org/I197681013"]},{"id":"https://openalex.org/I2800365227","display_name":"Paris-Est Sup","ror":"https://ror.org/0268ecp52","country_code":"FR","type":"education","lineage":["https://openalex.org/I2800365227"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Ilies Chibane","raw_affiliation_strings":["LISSI Lab, University of Paris-Est Cr\u00e9teil, France"],"raw_orcid":"https://orcid.org/0009-0005-5760-8556","affiliations":[{"raw_affiliation_string":"LISSI Lab, University of Paris-Est Cr\u00e9teil, France","institution_ids":["https://openalex.org/I197681013","https://openalex.org/I2800365227"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044453604","display_name":"Yacine Amirat","orcid":"https://orcid.org/0000-0002-3238-0517"},"institutions":[{"id":"https://openalex.org/I197681013","display_name":"Universit\u00e9 Paris-Est Cr\u00e9teil","ror":"https://ror.org/05ggc9x40","country_code":"FR","type":"education","lineage":["https://openalex.org/I197681013"]},{"id":"https://openalex.org/I2800365227","display_name":"Paris-Est Sup","ror":"https://ror.org/0268ecp52","country_code":"FR","type":"education","lineage":["https://openalex.org/I2800365227"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Yacine Amirat","raw_affiliation_strings":["LISSI Lab, University of Paris-Est Cr\u00e9teil, France"],"raw_orcid":"https://orcid.org/0000-0002-3238-0517","affiliations":[{"raw_affiliation_string":"LISSI Lab, University of Paris-Est Cr\u00e9teil, France","institution_ids":["https://openalex.org/I197681013","https://openalex.org/I2800365227"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.33354169,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.9768999814987183,"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.9768999814987183,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9223999977111816,"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.9164999723434448,"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/commonsense-reasoning","display_name":"Commonsense reasoning","score":0.8044000267982483},{"id":"https://openalex.org/keywords/commonsense-knowledge","display_name":"Commonsense knowledge","score":0.6305000185966492},{"id":"https://openalex.org/keywords/affordance","display_name":"Affordance","score":0.5625},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5047000050544739},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.499099999666214},{"id":"https://openalex.org/keywords/event-calculus","display_name":"Event calculus","score":0.4726000130176544},{"id":"https://openalex.org/keywords/anticipation","display_name":"Anticipation (artificial intelligence)","score":0.46070000529289246},{"id":"https://openalex.org/keywords/knowledge-representation-and-reasoning","display_name":"Knowledge representation and reasoning","score":0.40950000286102295},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.40459999442100525},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.3961000144481659}],"concepts":[{"id":"https://openalex.org/C193221554","wikidata":"https://www.wikidata.org/wiki/Q5153664","display_name":"Commonsense reasoning","level":2,"score":0.8044000267982483},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7494000196456909},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6603999733924866},{"id":"https://openalex.org/C30542707","wikidata":"https://www.wikidata.org/wiki/Q1603203","display_name":"Commonsense knowledge","level":3,"score":0.6305000185966492},{"id":"https://openalex.org/C194995250","wikidata":"https://www.wikidata.org/wiki/Q531136","display_name":"Affordance","level":2,"score":0.5625},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5047000050544739},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.499099999666214},{"id":"https://openalex.org/C18460168","wikidata":"https://www.wikidata.org/wiki/Q5416707","display_name":"Event calculus","level":2,"score":0.4726000130176544},{"id":"https://openalex.org/C176777502","wikidata":"https://www.wikidata.org/wiki/Q4774623","display_name":"Anticipation (artificial intelligence)","level":2,"score":0.46070000529289246},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.42910000681877136},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.40950000286102295},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.40459999442100525},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.3961000144481659},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.38850000500679016},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.38119998574256897},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.3747999966144562},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.35749998688697815},{"id":"https://openalex.org/C2777508537","wikidata":"https://www.wikidata.org/wiki/Q7936620","display_name":"Visual reasoning","level":2,"score":0.3393000066280365},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.3382999897003174},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3336000144481659},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3294999897480011},{"id":"https://openalex.org/C177877439","wikidata":"https://www.wikidata.org/wiki/Q7604413","display_name":"Statistical relational learning","level":3,"score":0.3221000134944916},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.32030001282691956},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.3098999857902527},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.3089999854564667},{"id":"https://openalex.org/C89288958","wikidata":"https://www.wikidata.org/wiki/Q7301504","display_name":"Reasoning system","level":2,"score":0.30790001153945923},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.30559998750686646},{"id":"https://openalex.org/C37335422","wikidata":"https://www.wikidata.org/wiki/Q6888134","display_name":"Model-based reasoning","level":3,"score":0.2797999978065491},{"id":"https://openalex.org/C2778848085","wikidata":"https://www.wikidata.org/wiki/Q17144597","display_name":"Domain specificity","level":3,"score":0.2793999910354614},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.263700008392334},{"id":"https://openalex.org/C115086926","wikidata":"https://www.wikidata.org/wiki/Q17004651","display_name":"Causal reasoning","level":3,"score":0.26010000705718994},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.25949999690055847}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia251451","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia251451","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia251451","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia251451","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Current":[0],"deep":[1],"learning-based":[2],"activity":[3],"recognition":[4],"and":[5,12,37,51,78,97,110,134,140,159,162],"anticipation":[6,136],"approaches":[7],"struggle":[8],"with":[9,76,99],"unlabeled":[10],"datasets":[11],"the":[13,52,129,135],"lack":[14],"of":[15,54,81,131,137],"commonsense":[16,38,56],"knowledge":[17,74,100],"about":[18],"previously":[19],"unseen":[20],"objects,":[21],"i.e.,":[22],"unknown":[23,83],"objects.":[24,84],"This":[25],"paper":[26],"proposes":[27],"a":[28,95,149,156],"neurosymbolic":[29],"framework":[30],"that":[31],"combines":[32],"context":[33,163],"recognition,":[34],"incremental":[35,59],"learning,":[36],"reasoning":[39,67,123],"to":[40,71,116,127],"anticipate":[41],"activities":[42],"from":[43,89,101,155],"egocentric":[44],"vision,":[45],"while":[46,65],"accounting":[47],"for":[48],"perceptual":[49],"uncertainty":[50],"incompleteness":[53],"real-world":[55],"knowledge.":[57],"The":[58],"learning":[60],"component":[61],"leverages":[62],"language":[63,105],"models,":[64],"Bayesian":[66],"enables":[68],"continuous":[69],"updates":[70],"an":[72],"ontological":[73],"graph":[75],"class":[77],"affordance":[79],"descriptions":[80,86],"these":[82],"These":[85],"are":[87,114],"derived":[88],"visual":[90],"feature":[91],"embeddings":[92],"extracted":[93],"using":[94,152],"transformer":[96],"enriched":[98],"various":[102],"multi-modal":[103],"large":[104],"models":[106],"(MLLMs).":[107],"Event":[108],"calculus":[109],"answer":[111],"set":[112],"programming":[113],"used":[115],"formalize":[117],"domain":[118],"knowledge,":[119],"enabling":[120],"probabilistic":[121],"symbolic":[122],"over":[124],"contextual":[125],"events":[126],"support":[128],"prediction":[130],"user":[132],"intentions":[133],"both":[138],"simple":[139],"complex":[141],"activities.":[142],"A":[143],"prototype":[144],"has":[145],"been":[146],"tested":[147],"in":[148],"domestic":[150],"environment":[151],"images":[153],"captured":[154],"head-mounted":[157],"camera":[158],"real-time":[160],"object":[161],"event":[164],"detection.":[165]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-24T00:00:00"}
