Per Sort

@article{llmoracles-kbs310,
   acm = {10.1016/j.knosys.2024.112940},
   apice = {LlmoraclesKbs310},
   articleno = 112940,
   arxiv = {2404.04108},
   author = {Ciatto, Giovanni and Agiollo, Andrea and Magnini, Matteo and Omicini, Andrea},
   dblp = {journals/kbs/CiattoAMO25},
   doi = {10.1016/j.knosys.2024.112940},
   iris = {11585/1001205},
   issn = {0950-7051},
   journal = {Knowledge-Based Systems},
   keywords = {Ontology population; Large language models; Nutrition; Automation; Domain-specific knowledge},
   lens = {002-808-574-876-090},
   month = {15~} # feb,
   numpages = 22,
   openalex = {W4406141444},
   opencitations = {0606112740},
   pages = {1--22},
   publisher = {Elsevier B.V.},
   scholar = {12608317221311042342},
   scopus = {2-s2.0-85214522484},
   title = {Large language models as oracles for instantiating ontologies with domain-specific knowledge},
   url = {https://www.sciencedirect.com/science/article/pii/S0950705124015740},
   urlopenaccess = {https://www.sciencedirect.com/science/article/pii/S0950705124015740},
   volume = 310,
   wos = {WOS:001397431800001},
   year = 2025
}

@article{skeislr-csur56,
   acm = {3645103},
   apice = {SkeislrCsur56},
   articleno = 161,
   author = {Ciatto, Giovanni and Sabbatini, Federico and Agiollo, Andrea and Magnini, Matteo and Omicini, Andrea},
   dblp = {journals/csur/CiattoSAMO24},
   doi = {10.1145/3645103},
   eissn = {1557-734},
   iris = {11585/969235},
   issn = {0360-0300},
   journal = {ACM Computing Surveys},
   keywords = {Logic; Machine learning theory; Hybrid symbolic-numeric methods; Knowledge representation and reasoning},
   lens = {143-064-043-213-611},
   month = jun,
   number = 6,
   numpages = 35,
   openalex = {W4391645809},
   opencitations = {06804657002},
   pages = {1--35},
   publisher = {ACM},
   scholar = {13701373869146776438},
   scopus = {2-s2.0-85188835517},
   semanticscholar = {267611660},
   title = {Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review},
   url = {https://dl.acm.org/doi/10.1145/3645103},
   urlopenaccess = {https://dl.acm.org/doi/pdf/10.1145/3645103},
   urlpdf = {https://dl.acm.org/doi/pdf/10.1145/3645103},
   volume = 56,
   wos = {WOS:001208566200027},
   year = 2024
}

@article{skenlp-jaamas38,
   apice = {SkenlpJaamas38},
   articleno = 32,
   author = {Agiollo, Andrea and Siebert, Luciano Cavalcante and Murukannaiah, Pradeep Kumar and Omicini, Andrea},
   dblp = {journals/aamas/AgiolloSMO24},
   doi = {10.1007/s10458-024-09663-8},
   iris = {11585/973894},
   journal = {Autonomous Agents and Multi-Agent Systems},
   keywords = {Natural language processing, post-hoc explanations, symbolic knowledge extraction, eXplainable AI, resource-friendly AI},
   lens = {048-322-352-133-098},
   month = jul,
   note = {Special Issue on Multi-Agent Systems and Explainable AI},
   numpages = 33,
   openalex = {W4400425589},
   pages = {1--33},
   publisher = {Springer},
   scholar = {13114388339509722903},
   scopus = {2-s2.0-85197706028},
   semanticscholar = {271083044},
   title = {From Large Language Models to Small Logic Programs: Building Global Explanations from Disagreeing Local Post-hoc Explainers},
   url = {http://link.springer.com/10.1007/s10458-024-09663-8},
   urlopenaccess = {https://link.springer.com/content/pdf/10.1007/s10458-024-09663-8.pdf},
   urlpdf = {https://link.springer.com/content/pdf/10.1007/s10458-024-09663-8.pdf},
   volume = 38,
   wos = {WOS:001264787900001},
   year = 2024
}

@article{ndnfl-fgcs2023,
   apice = {NdnflFgcs2023},
   author = {Agiollo, Andrea and Enkeleda Bardhi and Mauro Conti and Nicolò Dal Fabbro and Riccardo Lazzeretti},
   doi = {10.1016/j.future.2023.11.009},
   issn = {0167-739X},
   journal = {Future Generation Computer Systems},
   keywords = {Anonymous communication, Federated Learning, Named Data Networking, Privacy-preserving},
   note = {Special Issue on Federated Learning on the Edge: Challenges and Future Directions},
   pages = {288--303},
   publisher = {Elsevier},
   title = {Anonymous Federated Learning via Named-Data Networking},
   url = {https://www.sciencedirect.com/science/article/pii/S0167739X23004144},
   volume = 152,
   year = 2024
}

@article{eneafl-fgcs154,
   apice = {EneaflFgcs154},
   author = {Agiollo, Andrea and Bellavista, Paolo and Mendula, Matteo and Omicini, Andrea},
   dblp = {journals/fgcs/AgiolloBMO24},
   doi = {10.1016/j.future.2024.01.007},
   editor = {Hao Wu and Carlo Puliafito and Omer F. Rana and Luiz F. Bittencourt},
   iris = {11585/953081},
   issn = {0167-739X},
   journal = {Future Generation Computer Systems},
   keywords = {Serverless, Federated Learning, Energy Management, Internet of Things, Resource-constrained Learning},
   lens = {168-138-382-414-385},
   month = may,
   note = {Special Issue ``Serverless Computing in the Cloud-to-Edge Continuum''},
   numpages = 16,
   openalex = {W4390661811},
   pages = {219--234},
   publisher = {Elsevier Science B.V.},
   scholar = {15164122000920541506},
   scopus = {2-s2.0-85182399653},
   semanticscholar = {268131278},
   title = {{EneA-FL}: Energy-aware Orchestration for Serverless Federated Learning},
   url = {https://www.sciencedirect.com/science/article/pii/S0167739X24000074},
   volume = 154,
   wos = {WOS:001164533000001},
   year = 2024
}

@article{skiqos-jaamas37,
   apice = {SkiqosJaamas37},
   articleno = 27,
   author = {Agiollo, Andrea and Rafanelli, Andrea and Magnini, Matteo and Ciatto, Giovanni and Omicini, Andrea},
   dblp = {journals/aamas/AgiolloRMCO23},
   doi = {10.1007/s10458-023-09609-6},
   iris = {11585/932553},
   issn = {1573-7454},
   journal = {Autonomous Agents and Multi-Agent Systems},
   keywords = {symbolic knowledge injection, quality of service, efficiency, robustness, PSyKI},
   lens = {030-976-235-615-062},
   month = jun,
   number = 2,
   numpages = 30,
   openalex = {W4381996778},
   pages = {1--30},
   scholar = {6493335879803556297},
   scopus = {2-s2.0-85162972232},
   semanticscholar = {259234850},
   title = {Symbolic Knowledge Injection meets Intelligent Agents: {QoS} metrics and experiments},
   url = {https://link.springer.com/10.1007/s10458-023-09609-6},
   volume = 37,
   wos = {WOS:001013184000001},
   year = 2023
}

@article{nnconstrained-applsci11,
   apice = {NnhyperconstrainedAppliedSciences2021},
   articleno = 11957,
   author = {Agiollo, Andrea and Omicini, Andrea},
   doi = {10.3390/app112411957},
   iris = {11585/842440},
   issn = {2076-3417},
   journal = {Applied Sciences},
   keywords = {Load Classification; Neural Networks; Embedding; Hyper-constrained Devices},
   lens = {105-199-955-773-080},
   month = dec,
   note = {Special Issue ``Artificial Intelligence and Data Engineering in Engineering Applications''},
   number = 24,
   numpages = 13,
   openalex = {W4200260440},
   publisher = {MDPI},
   scholar = {14515352047550375229},
   scopus = {2-s2.0-85121296114},
   title = {Load Classification: A Case Study for Applying Neural Networks in Hyper-Constrained Embedded Devices},
   url = {https://www.mdpi.com/2076-3417/11/24/11957},
   urlopenaccess = {https://www.mdpi.com/2076-3417/11/24/11957/pdf},
   urlpdf = {https://www.mdpi.com/2076-3417/11/24/11957/pdf},
   volume = 11,
   wos = {WOS:000735509300001},
   year = 2021
}

@article{detonar-ieetnsm2021,
   apice = {DetonarIeetnsm18},
   author = {Agiollo, Andrea and Conti, Mauro and Kaliyar, Pallavi and Lin, TsungNan and Pajola, Luca},
   doi = {10.1109/TNSM.2021.3075496},
   ieee = {9415869},
   iris = {11585/842654},
   issn = {1932-4537},
   journal = {IEEE Transactions on Network and Service Management},
   keywords = {Internet of Things, Low Power and Lossy Networks, Routing Protocol, Networking attacks, Intrusion Detection System},
   number = 2,
   numpages = 13,
   openalex = {W3169052370},
   pages = {1178--1190},
   publisher = {IEEE},
   title = {{DETONAR}: Detection of Routing Attacks in {RPL}-based {I}o{T}},
   url = {https://ieeexplore.ieee.org/document/9415869},
   urlpdf = {https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9415869},
   volume = 18,
   wos = {WOS:000660636700006},
   year = 2021
}

@inproceedings{skidatadegradation-woa2024,
   apice = {SkidatadegradationWoa2024},
   author = {Rafanelli, Andrea and Magnini, Matteo and Agiollo, Andrea and Ciatto, Giovanni and Omicini, Andrea},
   booktitle = {WOA 2024 -- 25th Workshop ``From Objects to Agents 2024''},
   dblp = {conf/woa/RafanelliMACO24},
   editor = {Alderighi, Marco and Baldoni, Matteo and Baroglio, Cristina and Micalizio, Roberto and Tedeschi, Stefano},
   iris = {11585/975934},
   issn = {1613-0073},
   keywords = {Symbolic Knowledge Injection, Robustness, Neural Networks},
   location = {Bard, AO, Italy},
   month = jul,
   numpages = 13,
   pages = {20--32},
   publisher = {Sun SITE Central Europe, RWTH Aachen University},
   scholar = {9917174396528512749},
   scopus = {2-s2.0-85200118300},
   series = {CEUR Workshop Proceedings},
   subseries = {AIxIA Series},
   title = {An Empirical Study on the Robustness of Knowledge Injection Techniques Against Data Degradation},
   url = {https://ceur-ws.org/Vol-3735/paper_02.pdf},
   urlopenaccess = {https://ceur-ws.org/Vol-3735/paper_02.pdf},
   urlpdf = {https://ceur-ws.org/Vol-3735/paper_02.pdf},
   volume = 3735,
   wos = {WOS:001788634000002},
   year = 2024
}

@inproceedings{samis-kdd2024,
   acm = {3671985},
   apice = {SamisKdd2024},
   author = {Agiollo, Andrea and Young In Kim and Khanna, Rajiv},
   booktitle = {Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '24)},
   dblp = {conf/kdd/AgiolloKK24},
   doi = {10.1145/3637528.3671985},
   keywords = {Neural Networks, Data-efficient Learning, Memorization, Flatness},
   month = aug,
   numpages = 12,
   pages = {17--28},
   publisher = {ACM},
   scholar = {8151925308990231563},
   title = {Approximating Memorization Using Loss Surface Geometry for Dataset Pruning and Summarization},
   url = {https://dl.acm.org/doi/10.1145/3637528.3671985},
   urlopenaccess = {https://dl.acm.org/doi/pdf/10.1145/3637528.3671985},
   urlpdf = {https://dl.acm.org/doi/pdf/10.1145/3637528.3671985},
   year = 2024
}

@inproceedings{gnnforifa-eurosp2023,
   address = {Los Alamitos, CA, USA},
   apice = {Gnn4ifaEurosp2023},
   author = {Agiollo, Andrea and Bardhi, Enkeleda and Conti, Mauro and Lazzeretti, Riccardo and Losiouk, Eleonora and Omicini, Andrea},
   booktitle = {2023 IEEE 8th European Symposium on Security and Privacy (EuroS\&P)},
   dblp = {conf/eurosp/AgiolloBCLLO23},
   doi = {10.1109/EuroSP57164.2023.00043},
   ieee = {10190497},
   iris = {11585/935157},
   isbn = {978-1-6654-6512-0},
   lens = {192-403-011-374-307},
   location = {Delft, Netherlands},
   month = jul,
   numpages = 16,
   openalex = {W4385412194},
   organization = {IEEE Computer Society},
   pages = {615--630},
   publisher = {IEEE Computer Society},
   scholar = {17982957357366969368},
   scopus = {2-s2.0-85168119525},
   title = {{GNN4IFA}: Interest Flooding Attack Detection With Graph Neural Networks},
   url = {https://www.computer.org/csdl/proceedings-article/eurosp/2023/651200a615},
   urlpdf = {https://csdl-downloads.ieeecomputer.org/proceedings/eurosp/2023/6512/00/651200a615.pdf},
   wos = {WOS:001046858400034},
   year = 2023
}

@inproceedings{keynote-fedcsis2023,
   address = {Warsaw, Poland},
   apice = {KeynoteFedcsis2023},
   author = {Agiollo, Andrea and Omicini, Andrea},
   booktitle = {Proceedings of the 18th Conference on Computer Science and Intelligence Systems},
   dblp = {conf/fedcsis/AgiolloO23},
   doi = {10.15439/2023F6019},
   editor = {Maria Ganzha and Leszek Maciaszek and Marcin Paprzycki and Dominik Ślęzak},
   eisbn = {978-83-967447-8-4},
   ieee = {10305942},
   iris = {11585/951750},
   isbn = {978-83-969601-0-8},
   isbn13 = {978-83-967447-9-1},
   issn = {2300-5963},
   lens = {194-408-672-134-250},
   location = {Warsaw, Poland},
   month = sep,
   numpages = 10,
   openalex = {W4387619784},
   pages = {1--10},
   publisher = {Polish Information Processing Society},
   scholar = {4358274351024166022},
   scopus = {2-s2.0-85179180821},
   series = {Annals of Computer Sciences and Information Systems},
   title = {Measuring Trustworthiness in Neuro-Symbolic Integration},
   url = {https://annals-csis.org/Volume_35/drp/6019.html},
   urlopenaccess = {https://annals-csis.org/Volume_35/drp/pdf/6019.pdf},
   urlpdf = {https://annals-csis.org/Volume_35/drp/pdf/6019.pdf},
   volume = 35,
   year = 2023
}

@inproceedings{prfl-woa2023,
   apice = {PrflWoa2023},
   author = {Passeri, Mattia and Agiollo, Andrea and Omicini, Andrea},
   booktitle = {WOA 2023 -- 24th Workshop ``From Objects to Agents''},
   dblp = {conf/woa/PasseriAO23},
   editor = {Falcone, Rino and Castelfranchi, Cristiano and Sapienza, Alessandro and Cantucci, Filippo},
   iris = {11585/950373},
   issn = {1613-0073},
   keywords = {Federated Learning; non-IID data; Peer-review},
   month = nov,
   numpages = 17,
   pages = {49--65},
   publisher = {Sun SITE Central Europe, RWTH Aachen University},
   scholar = {7461839519241304430},
   scopus = {2-s2.0-85179627285},
   series = {CEUR Workshop Proceedings},
   subseries = {AIxIA Series},
   title = {Peer-Reviewed Federated Learning},
   url = {https://ceur-ws.org/Vol-3579/paper4.pdf},
   urlopenaccess = {https://ceur-ws.org/Vol-3579/paper4.pdf},
   urlpdf = {https://ceur-ws.org/Vol-3579/paper4.pdf},
   volume = 3579,
   wos = {WOS:001788647800004},
   year = 2023
}

@incollection{quarrel-extraamas2023,
   apice = {QuarrelExtraamas2023},
   author = {Agiollo, Andrea and Siebert, Luciano C. and Murukannaiah, Pradeep K. and Omicini, Andrea},
   booktitle = {Explainable and Transparent {AI} and Multi-Agent Systems},
   chapter = 6,
   dblp = {conf/extraamas/AgiolloSMO23},
   doi = {10.1007/978-3-031-40878-6_6},
   editor = {Calvaresi, Davide and Najjar, Amro and Omicini, Andrea and Aydoǧan, Reyhan and Carli, Rachele and Ciatto, Giovanni and Mualla, Yazan and Främling, Kary},
   iris = {11585/940734},
   isbn = {978-3-031-40878-6},
   issn = {0302-9743},
   keywords = {Natural Language Processing, Moral Values Classification, eXplainable Artificial Intelligence, Local Post-hoc Explanations.},
   lens = {161-314-289-804-202},
   month = sep,
   numpages = 19,
   openalex = {W4386431516},
   pages = {97--115},
   publisher = {Springer},
   scholar = {16243619767560534499},
   scopus = {2-s2.0-85172189313},
   series = {Lecture Notes in Computer Science},
   subseries = {Lecture Notes in Artificial Intelligence},
   title = {The Quarrel of Local Post-hoc Explainers for Moral Values Classification in Natural Language Processing},
   url = {http://link.springer.com/10.1007/978-3-031-40878-6_6},
   urlpdf = {https://link.springer.com/content/pdf/10.1007/978-3-031-40878-6_6.pdf},
   volume = 14127,
   year = 2023
}

@incollection{skiqs-woa2022,
   apice = {SkiqosWoa2022},
   author = {Agiollo, Andrea and Rafanelli, Andrea and Omicini, Andrea},
   booktitle = {WOA 2022 -- 23rd Workshop ``From Objects to Agents''},
   dblp = {conf/woa/AgiolloRO22},
   editor = {Ferrando, Angelo and Mascardi, Viviana},
   iris = {11585/899383},
   issn = {1613-0073},
   keywords = {symbolic knowledge injection, quality of service, efficiency, understandability, robustness},
   month = nov,
   numpages = 18,
   pages = {30--47},
   publisher = {Sun SITE Central Europe, RWTH Aachen University},
   scholar = {5478874943780106057},
   scopus = {2-s2.0-85142522311},
   semanticscholar = {253270240},
   series = {CEUR Workshop Proceedings},
   subseries = {AIxIA Series},
   title = {Towards Quality-of-Service Metrics for Symbolic Knowledge Injection},
   url = {http://ceur-ws.org/Vol-3261/paper3.pdf},
   urlopenaccess = {http://ceur-ws.org/Vol-3261/paper3.pdf},
   urlpdf = {http://ceur-ws.org/Vol-3261/paper3.pdf},
   volume = 3261,
   wos = {WOS:001788658400003},
   year = 2022
}

@inproceedings{gnn2gnn-uai2022,
   apice = {Gnn2gnnUai2022},
   author = {Agiollo, Andrea and Omicini, Andrea},
   booktitle = {Uncertainty in Artificial Intelligence},
   dblp = {conf/uai/AgiolloO22},
   editor = {Cussens, James and Zhang, Kun},
   iris = {11585/899465},
   issn = {2640-3498},
   keywords = {Graph Neural Networks, Neural Architecture Search, Generative Adversarial Networks},
   month = aug,
   note = {Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence, {UAI} 2022, 1-5 August 2022, Eindhoven, The Netherlands},
   numpages = 11,
   pages = {32--42},
   publisher = {ML Research Press},
   scholar = {3643983533846865361},
   scopus = {2-s2.0-85163345190},
   series = {Proceedings of Machine Learning Research},
   title = {{GNN2GNN}: Graph Neural Networks to Generate Neural Networks},
   url = {https://proceedings.mlr.press/v180/agiollo22a.html},
   urlopenaccess = {https://proceedings.mlr.press/v180/agiollo22a/agiollo22a.pdf},
   volume = 180,
   wos = {WOS:001228408900004},
   year = 2022
}

@incollection{shallow2deep-extraamas2021,
   address = {Cham, Switzerland},
   apice = {Shallow2deepExtraamas2021},
   author = {Agiollo, Andrea and Ciatto, Giovanni and Omicini, Andrea},
   booktitle = {Explainable and Transparent AI and Multi-Agent Systems. 3rd International Workshop, EXTRAAMAS 2021, Virtual Event, May 3--7, 2021, Revised Selected Papers},
   dblp = {conf/atal/AgiolloCO21},
   doi = {10.1007/978-3-030-82017-6_5},
   editor = {Calvaresi, Davide and Najjar, Amro and Winikoff, Michael and Fr{\"a}mling, Kary},
   eisbn = {978-3-030-82017-6},
   eissn = {1611-3349},
   iris = {11585/838540},
   isbn = {978-3-030-82016-9},
   issn = {0302-9743},
   keywords = {Neural Architecture Search; Evolutionary Algorithm; Opacity; Interpretability},
   lens = {037-531-814-474-551},
   numpages = 20,
   openalex = {W3186876638},
   pages = {63--82},
   publisher = {Springer},
   scholar = {8606811357246615623},
   scopus = {2-s2.0-85113325735},
   semanticscholar = {236460263},
   series = {Lecture Notes in Computer Science},
   subseries = {Lecture Notes in Artificial Intelligence},
   title = {{\it Shallow2Deep}: Restraining Neural Networks Opacity through Neural Architecture Search},
   url = {http://link.springer.com/10.1007/978-3-030-82017-6_5},
   volume = 12688,
   wos = {WOS:000691781800005},
   year = 2021
}

@inproceedings{gnn-woa2021,
   apice = {GnnWoa2021},
   articleno = 8,
   author = {Agiollo, Andrea and Ciatto, Giovanni and Omicini, Andrea},
   booktitle = {WOA 2021 -- 22nd Workshop ``From Objects to Agents''},
   dblp = {conf/woa/AgiolloCO21},
   editor = {Calegari, Roberta and Ciatto, Giovanni and Denti, Enrico and Omicini, Andrea and Sartor, Giovanni},
   iris = {11585/834362},
   issn = {1613-0073},
   keywords = {Graph Neural Networks, Machine Learning, Embedding, Computational Logic},
   lens = {161-306-059-568-654},
   location = {Bologna, Italy},
   month = oct,
   note = {22nd Workshop ``From Objects to Agents'' (WOA 2021), Bologna, Italy, 1--3~} # sep # {~2021. Proceedings},
   numpages = 18,
   openalex = {W3202057208},
   pages = {98--115},
   publisher = {Sun SITE Central Europe, RWTH Aachen University},
   scholar = {817372786663443317},
   scopus = {2-s2.0-85116916925},
   semanticscholar = {238360605},
   series = {CEUR Workshop Proceedings},
   subseries = {AI*IA Series},
   title = {Graph Neural Networks as the Copula Mundi between Logic and Machine Learning: A Roadmap},
   url = {http://ceur-ws.org/Vol-2963/paper18.pdf},
   volume = 2963,
   wos = {WOS:001788669700008},
   year = 2021
}

@inproceedings{rgbdsemanticsegmentation-icdsc2019,
   apice = {RgbdsemanticsegmentationIcdsc2019},
   articleno = 9,
   author = {Michieli, Umberto and Camporese, Maria and Agiollo, Andrea and Pagnutti, Giampaolo and Zanuttigh, Pietro},
   booktitle = {13th International Conference on Distributed Smart Cameras (ICDSC2019)},
   dblp = {conf/icdsc/MichieliCAPZ19},
   doi = {10.1145/3349801.3349810},
   editor = {Conci, Nicola and Shan, Caifeng and Marcenaro, Lucio and Han, Jungong},
   iris = {11585/842656},
   isbn = {978-1-4503-7189-6},
   location = {Trento, Italy},
   month = {9--11~} # sep,
   numpages = 6,
   openalex = {W2976248065},
   pages = {1--6},
   publisher = {{ACM}},
   title = {Region Merging Driven by Deep Learning for {RGB-D} Segmentation and Labeling},
   url = {https://doi.org/10.1145/3349801.3349810},
   wos = {WOS:000519116500009},
   year = 2019
}

@incollection{neurosymbolic-woa25y,
   address = {Cham},
   apice = {NeurosymbolicWoa25Y},
   author = {Agiollo, Andrea and Calegari, Roberta and Ciatto, Giovanni and Magnini, Matteo and Omicini, Andrea and Sabbatini, Federico},
   booktitle = {The Agents Journey: Twenty-Five Years of Multi-agent Systems},
   chapter = 12,
   doi = {10.1007/978-3-032-22940-3_12},
   editor = {Mascardi, Viviana and Omicini, Andrea},
   eisbn = {978-3-032-22940-3},
   eissn = {1611-3349},
   iris = {11585/1061411},
   isbn = {978-3-032-22939-7},
   issn = {0302-9743},
   keywords = {Rational Agents, Logic Programming, Multi-agent Systems, Symbolic-Subsymbolic Integration},
   lens = {028-851-073-271-306},
   month = apr,
   numpages = 20,
   openalex = {W7155969644},
   pages = {320--339},
   publisher = {Springer Nature Switzerland},
   scholar = {21797340038813643},
   scopus = {2-s2.0-105041239279},
   series = {Lecture Notes in Computer Science},
   subseries = {State-of-the-Art Survey},
   title = {Intelligent Agents from Symbolic to Neurosymbolic Systems: The Quest for Integration},
   url = {https://link.springer.com/10.1007/978-3-032-22940-3_12},
   urlopenaccess = {https://link.springer.com/content/pdf/10.1007/978-3-032-22940-3_12.pdf},
   volume = 16395,
   year = 2026
}