Per Year
@article{sicilc22-jlc33,
apice = {SiCilc22Jlc33},
author = {Calegari, Roberta and Ciatto, Giovanni and Omicini, Andrea},
editor = {Calegari, Roberta and Ciatto, Giovanni and Omicini, Andrea},
eissn = {1465-363X},
issn = {0955-792X},
journal = {Journal of Logic and Computation},
month = dec,
number = 8,
numpages = 187,
pages = {1711--1897},
publisher = {Oxford University Press},
title = {Special Issue ``{C}omputational Logic on {P}rolog's 50th Anniversary: Highlights from {CILC 2022}''},
url = {https://academic.oup.com/logcom/issue/33/8#1795054-7190756},
volume = 33,
year = 2023
}
@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{ecc-asmecc2023,
abstract = {The Edge-Cloud Continuum (ECC) is an emerging paradigm for the holistic exploitation of all sorts of hardware resources. Compared with traditional cloud computing, ECC is more flexible, as it can operate with heterogeneous devices. ECC is thus particularly well-suited for implementing a compute infrastructure in contexts where hardware provisioning is not continuous, and where the need for resource sharing is high. This is the case, for instance, of research groups willing to share their computational resources, differing in terms of capabilities, maintenance, and provisioning. However, designing a small-scale ECC infrastructure is not trivial, as there are many admissible architectures, design choices, and technological solutions. In this paper, we report the experience of building a flexible architecture, involving both virtual and bare metal nodes, where researches can smoothly and occasionally (un)plug their own machines, and where computational tasks are dynamically balanced considering the currently available resources.},
apice = {EccAsmecc2023},
author = {Baiardi, Martina and Ciatto, Giovanni and Pianini, Danilo},
booktitle = {Proceedings of the 1st ASMECC Workshop on Autonomic and Self-* Management for the Edge-Cloud Continuum},
editor = {Roberto Casadei and Lukas Esterle and Stefano Forti},
numpages = 6,
title = {Infrastructures for the Edge-Cloud Continuum on a Small Scale: a Practical Case Study},
year = 2023
}
@inproceedings{exact-kodis2023,
address = {Rhodes, Greece},
apice = {ExactKodis2023},
author = {Sabbatini, Federico and Calegari, Roberta},
booktitle = {Proceedings of the 2nd International Workshop on Knowledge Diversity (KoDis 2023)},
iris = {11585/962330},
keywords = {Explainable clustering, Explainable artificial intelligence, PSyKE},
pages = {3:1--3:8},
scopus = {2-s2.0-85178369832},
series = {CEUR Workshop Proceedings},
title = {{ExACT} Explainable Clustering: Unravelling the Intricacies of Cluster Formation},
url = {https://ceur-ws.org/Vol-3548/paper3.pdf},
urlopenaccess = {https://ceur-ws.org/Vol-3548/paper3.pdf},
urlpdf = {https://ceur-ws.org/Vol-3548/paper3.pdf},
year = 2023
}
@article{metabop-ifcolog10,
apice = {MetabopIfcolog10},
author = {Pisano, Giuseppe and Calegari, Roberta and Omicini, Andrea and Giovanni Sartor},
booktitle = {Special Issue: Advances in Argumentation in AI},
dblp = {journals/flap/PisanoCOS23},
editor = {D'Agostino, Marcello and D'Asaro, Fabio Aurelio and Larese, Costanza},
eissn = {2631-9829},
iris = {11585/926735},
isbn = {978-1-84890-433-0},
issn = {2631-9810},
journal = {Journal of Applied Logics},
keywords = {burdens of persuasion, argumentation, meta-argumentation},
month = may,
note = {Special Issue: Advances in Argumentation in AI},
number = 3,
numpages = 28,
pages = {393--420},
publisher = {College Publications},
scholar = {6899343197318040336},
scopus = {2-s2.0-85160661742},
title = {Burden of Persuasion: A Meta-argumentation Approach},
url = {https://www.collegepublications.co.uk/downloads/ifcolog00059.pdf#page=134},
volume = 10,
wos = {WOS:001243893100005},
year = 2023
}
@incollection{iclp2023le,
apice = {Iclp2023Le},
author = {Galileo Sartor and Jacinto Dàvila and Alessia Fidelangeli and Pisano, Giuseppe},
keywords = {Logic Programming, Prolog, Controlled Natural Language, Legal Rule Modelling, Explainable AI, Logical English, s(CASP)},
title = {(Re)Integration of Logical English and s(CASP)},
urlpdf = {https://ceur-ws.org/Vol-3437/paper7GDE.pdf},
year = 2023
}
@inproceedings{eptcs2023,
apice = {Eptcs2023},
author = {Enrico Pontelli and Stefania Costantini and Carmine Dodaro and Sarah Gaggl and Calegari, Roberta and Artur D'Avila Garcez and Francesco Fabiano and Alessandra Mileo and Alessandra Russo and Francesca Toni},
booktitle = {EPTCS 385 – Proceedings 39th International Conference on Logic Programming},
doi = {10.4204/EPTCS.385},
iris = {11585/962312},
issn = {2075-2180},
scopus = {2-s2.0-85172987467},
title = {Preface - Proceedings 39th International Conference on Logic Programming},
url = {https://arxiv.org/html/2308.14898#EPTCS385.0},
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{prefaceaequitas2023,
apice = {PrefaceAequitas2023},
author = {Calegari, Roberta and Andrea Aler Tubella and Gabriel Gonzalez and Virginia Dignum and Milano, Michela},
booktitle = {Proceedings of the 1st Workshop on Fairness and Bias in AI co-located with 26th European Conference on Artificial Intelligence (ECAI 2023)},
iris = {11585/962308},
issn = {1613-0073},
numpages = 2,
pages = {i--ii},
scopus = {2-s2.0-85177045757},
series = {CEUR Workshop Proceedings},
title = {Preface: Fairness and Bias in AI: Insights from AEQUITAS 2023},
url = {https://ceur-ws.org/Vol-3523/xpreface.pdf},
urlopenaccess = {https://ceur-ws.org/Vol-3523/xpreface.pdf},
urlpdf = {https://ceur-ws.org/Vol-3523/xpreface.pdf},
volume = 3523,
year = 2023
}
@article{hypercubeske-ia17,
apice = {HypercubeSkeIa17},
author = {Sabbatini, Federico and Ciatto, Giovanni and Calegari, Roberta and Omicini, Andrea},
dblp = {journals/ia/SabbatiniCCO23},
doi = {10.3233/IA-230001},
editor = {Ferrando, Angelo and Mascardi, Viviana},
iris = {11585/941033},
journal = {Intelligenza Artificiale},
keywords = {explainable AI, knowledge extraction, interpretable prediction, PSyKE},
lens = {054-166-349-034-57X},
month = jun,
note = {Special issue: Selected papers from the 23rd Workshop ``From Objects to Agents'' (WOA 2022)},
number = 1,
numpages = 13,
openalex = {W4380028559},
pages = {63--75},
publisher = {IOS Press},
scholar = {14669296704428238758},
scopus = {2-s2.0-85168332389},
semanticscholar = {259324728},
title = {Towards a Unified Model for Symbolic Knowledge Extraction with Hypercube-Based Methods},
url = {https://content.iospress.com/articles/intelligenza-artificiale/ia230001},
urlopenaccess = {https://cris.unibo.it/retrieve/3a2a510e-9dc5-4b07-b3f7-398cf2f21419/ia-2023-psyke.pdf},
urlpdf = {https://journals.sagepub.com/doi/pdf/10.3233/IA-230001},
volume = 17,
wos = {WOS:001424596800001},
year = 2023
}
@incollection{clustering-extraamas2023,
address = {London, UK},
apice = {ClusteringExtraamas2023},
author = {Sabbatini, Federico and Calegari, Roberta},
booktitle = {Explainable and Transparent AI and Multi-Agent Systems},
doi = {10.1007/978-3-031-40878-6_7},
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 = {11585/962326},
isbn = {978-3-031-40877-9},
issn = {0302-9743},
keywords = {Explainable artificial intelligence; Symbolic knowledge extraction; Clustering},
pages = {116--129},
publisher = {Springer},
scopus = {2-s2.0-85172259054},
series = {Lecture Notes in Computer Science},
subseries = {Lecture Notes in Artificial Intelligence},
title = {Bottom-Up and Top-Down Workflows for Hypercube- and Clustering-based Knowledge Extractors},
url = {https://link.springer.com/10.1007/978-3-031-40878-6_7},
volume = 14127,
year = 2023
}
@inproceedings{abdsemimgsegm-aixia2022,
address = {Aachen, Germany},
apice = {AbdSemimgsegmAixia2022},
author = {Rafanelli, Andrea and Stefania Costantini and Omicini, Andrea},
booktitle = {AIxIA 2022 Discussion Papers},
chapter = 9,
dblp = {conf/aiia/RafanelliCO22},
editor = {Dovier, Agostino and Montanari, Angelo and Orlandini, Andrea},
iris = {11585/933658},
issn = {1613-0073},
keywords = {neuro-symbolic, abductive reasoning, semantic segmentation, XAI},
location = {Udine, Italy},
month = jun,
note = {Proceedings of the Discussion Papers -- 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2022 DP), co-located with 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2022) -- Udine, Italy, November 28--December 2, 2022},
numpages = 10,
pages = {75--84},
publisher = {Sun SITE Central Europe, RWTH Aachen University},
scholar = {4710138681206481431},
scopus = {2-s2.0-85164192487},
series = {CEUR Workshop Proceedings},
subseries = {AIxIA Series},
title = {Position Paper: On the Role of Abductive Reasoning in Semantic Image Segmentation},
url = {https://ceur-ws.org/Vol-3419/paper9.pdf},
urlopenaccess = {https://ceur-ws.org/Vol-3419/paper9.pdf},
urlpdf = {https://ceur-ws.org/Vol-3419/paper9.pdf},
volume = 3419,
year = 2023
}
@proceedings{aamas2023,
booktitle = {Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems},
dblp = {conf/atal/2023},
editor = {Noa Agmon and Bo An and Ricci, Alessandro and William Yeoh},
isbn = {978-1-4503-9432-1},
issn = {2523-5699},
note = {22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023), London, UK, 29 May - 2 June 2023},
publisher = {ACM},
title = {Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems},
url = {https://www.ifaamas.org/Proceedings/aamas2023/},
year = 2023
}
@inproceedings{toolformer-neurips2023,
apice = {ToolformerNeurips2023},
author = {Timo Schick and Jane Dwivedi-Yu and Roberto Dessì and Roberta Raileanu and Maria Lomeli and Eric Hambro and Luke Zettlemoyer and Mike Lewis},
booktitle = {37th Conference on Neural Information Processing Systems (NeurIPS 2023)},
title = {Toolformer: Language Models Can Teach Themselves to Use Tools},
url = {https://openreview.net/forum?id=Yacmpz84TH},
year = 2023
}
@incollection{explanationprotocol-extraamas2023,
apice = {ExplanationProtocolExtraamas2023},
author = {Ciatto, Giovanni and Magnini, Matteo and Bezcu, Berk and Aydoǧan, Reyhan and Omicini, Andrea},
booktitle = {Explainable and Transparent {AI} and Multi-Agent Systems},
chapter = 3,
dblp = {conf/extraamas/CiattoMBAO23},
doi = {10.1007/978-3-031-40878-6_3},
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 = {11585/940656},
isbn = {978-3-031-40878-6},
issn = {0302-9743},
keywords = {XAI, recommender systems, multi-agent systems, explanation protocols, Spade, PyXMas},
lens = {148-308-040-946-924},
month = sep,
numpages = 21,
openalex = {W4386412605},
pages = {38--58},
publisher = {Springer},
scholar = {5371175139312621961},
scopus = {2-s2.0-85172214167},
semanticscholar = {261894587},
series = {Lecture Notes in Computer Science},
subseries = {Lecture Notes in Artificial Intelligence},
title = {A General-Purpose Protocol for Multi-Agent based Explanations},
url = {https://link.springer.com/10.1007/978-3-031-40878-6_3},
volume = 14127,
year = 2023
}
@article{kins-jlc33,
apice = {KinsJlc33},
author = {Magnini, Matteo and Ciatto, Giovanni and Omicini, Andrea},
dblp = {journals/logcom/MagniniCO23},
doi = {10.1093/logcom/exad037},
eissn = {1465-363X},
iris = {11585/950567},
issn = {0955-792X},
journal = {Journal of Logic and Computation},
keywords = {neural network, expalinable AI, symbolic knowledge injection, KINS, PSyKI},
lens = {159-289-375-475-253},
month = dec,
number = 8,
numpages = 19,
openalex = {W4382319513},
pages = {1832--1850},
publisher = {Oxford University Press},
scholar = {2353304508513748358},
scopus = {2-s2.0-85179896166},
semanticscholar = {266726315},
title = {Knowledge injection of {D}atalog rules via Neural Network Structuring with {KINS}},
url = {https://academic.oup.com/logcom/article/33/8/1832/7190990},
volume = 33,
wos = {WOS:001003002200001},
year = 2023
}
@article{arg2pcompcheck-jlc32,
apice = {Arg2pcompcheckJlc33},
author = {Livio Robaldo and Francesco Pacenza and Jessica Zangari and Calegari, Roberta and Francesco Calimeri and Giovanni Siragusa},
dblp = {journals/logcom/RobaldoPZCCS23},
doi = {10.1093/logcom/exad034},
editor = {Calegari, Roberta and Ciatto, Giovanni and Omicini, Andrea},
iris = {11585/877812},
issn = {0955-792X},
journal = {Journal of Logic and Computation},
month = jun,
note = {Special Issue from the 37th Italian Conference on Computational Logic (CILC 2022)},
number = 2,
pages = {369--401},
publisher = {Oxford University Press},
scholar = {7687317421217944977},
scopus = {2-s2.0-85126283334},
title = {Efficient compliance checking of RDF data},
url = {https://academic.oup.com/logcom/advance-article/doi/10.1093/logcom/exad034/7190757},
volume = 32,
wos = {000762067600009},
year = 2023
}
@article{traindelay-information41,
apice = {TraindelayInformation14},
articleno = 269,
author = {Denti, Enrico and Burroni, Luca},
doi = {10.3390/info14050269},
issn = {2078-2489},
journal = {Information},
number = 5,
title = {Delay Indices for Train Punctuality},
url = {https://www.mdpi.com/2078-2489/14/5/269},
volume = 14,
year = 2023
}
@inproceedings{ctl-aixia2022,
address = {Aachen, Germany},
apice = {CtlAixia2022},
author = {Magnini, Matteo and Ciatto, Giovanni and Omicini, Andrea},
booktitle = {AIxIA 2022 Discussion Papers},
chapter = 2,
dblp = {conf/aiia/MagniniCO22},
editor = {Dovier, Agostino and Montanari, Angelo and Orlandini, Andrea},
iris = {11585/933657},
issn = {1613-0073},
keywords = {transfer learning; multi-agent systems; artificial general intelligence; symbolic knowledge extraction; symbolic knowledge injection},
location = {Udine, Italy},
month = jun,
note = {Proceedings of the Discussion Papers -- 21st International Conference of the Italian Association for Artificial Intelligence (AIxIA 2022 DP), co-located with 21st International Conference of the Italian Association for Artificial Intelligence (AIxIA 2022) -- Udine, Italy, November 28--December 2, 2022},
numpages = 11,
pages = {12--22},
publisher = {Sun SITE Central Europe, RWTH Aachen University},
scholar = {13606448051050829166},
scopus = {2-s2.0-85164132302},
series = {CEUR Workshop Proceedings},
subseries = {AIxIA Series},
title = {Bridging Symbolic and Sub-Symbolic {AI}: Towards Cooperative Transfer Learning in Multi-Agent Systems},
url = {https://ceur-ws.org/Vol-3419/paper2.pdf},
urlopenaccess = {https://ceur-ws.org/Vol-3419/paper2.pdf},
urlpdf = {https://ceur-ws.org/Vol-3419/paper2.pdf},
volume = 3419,
year = 2023
}
@inproceedings{completeness-ximl2023,
apice = {CompletenessXiml2023},
author = {Sabbatini, Federico and Calegari, Roberta},
booktitle = {Artificial Intelligence. {ECAI} 2023 International Workshops -- {XAI}{\({^3}\)}, {TACTIFUL}, {XI-ML}, {SEDAMI}, {RAAIT}, {AI4S}, {HYDRA}, {AI4AI}, Krak{\'{o}}w, Poland, September 30 -- October 4, 2023, Proceedings, Part {I}},
doi = {10.1007/978-3-031-50396-2_10},
editor = {Nowaczyk, Slawomir and Biecek, Przemyslaw and Chung, Neo Christopher and Vallati, Mauro and Skruch, Pawel and Jaworek{-}Korjakowska, Joanna and Parkinson, Simon and Nikitas, Alexandros and Atzmüller, Martin and Kliegr, Tomás and others},
iris = {11585/962344},
keywords = {Symbolic knowledge extraction, Explainable artificial intelligence, PSyKE},
pages = {179--197},
publisher = {Springer},
scopus = {2-s2.0-85184090360},
series = {Communications in Computer and Information Science},
title = {Achieving Complete Coverage with Hypercube-Based Symbolic Knowledge-Extraction Techniques},
url = {https://link.springer.com/10.1007/978-3-031-50396-2_10},
urlopenaccess = {https://link.springer.com/10.1007/978-3-031-50396-2_10},
volume = 1947,
year = 2023
}
@article{siamas-applsci13,
apice = {SiAmasApplsci13},
author = {Omicini, Andrea and Mariani, Stefano},
editor = {Omicini, Andrea and Mariani, Stefano},
eissn = {2076-3417},
journal = {Applied Sciences},
number = 5,
publisher = {MDPI},
title = {Special Issue ``{A}dvances in {M}ulti-{A}gent {S}ystems''},
url = {https://www.mdpi.com/journal/applsci/special_issues/Advances_in_Multi-Agent_Systems},
volume = 13,
year = 2023
}
@article{preface-jlc33,
apice = {PrefaceJlc33},
author = {Calegari, Roberta and Ciatto, Giovanni and Omicini, Andrea},
doi = {10.1093/logcom/exad031},
eissn = {1465-363X},
iris = {11585/951151},
issn = {0955-792X},
journal = {Journal of Logic and Computation},
lens = {158-406-098-338-181},
month = dec,
note = {Special Issue ``Computational Logic on Prolog's 50th Anniversary: Highlights from CILC 2022''},
number = 8,
numpages = 1,
openalex = {W4379977885},
pages = {1711},
publisher = {Oxford University Press},
scholar = {2353304508513748358},
scopus = {2-s2.0-85180080592},
title = {Preface},
url = {https://academic.oup.com/logcom/article/33/8/1711/7190280},
volume = 33,
wos = {WOS:001003891800001},
year = 2023
}
@article{neurallogicmas-ia17,
apice = {NeurallogicmasIa17},
author = {Rafanelli, Andrea and Costantini, Stefania and De Gasperis, Giovanni},
doi = {10.3233/IA-230004},
editor = {Ferrando, Angelo and Mascardi, Viviana},
issn = {2211-0097},
journal = {Intelligenza Artificiale},
keywords = {Neural-logic; multi-agent systems; image segmentation; computational geometry; perception fusion},
month = jan,
number = 1,
numpages = 17,
pages = {19--35},
publisher = {IOS Press},
title = {Neural-logic multi-agent system for flood event detection},
url = {https://content.iospress.com/articles/intelligenza-artificiale/ia230004},
urlpdf = {https://journals.sagepub.com/doi/pdf/10.3233/IA-230004},
volume = 17,
year = 2023
}
@article{hamletfgcs2022,
apice = {HamletFgcs2022},
author = {Matteo Francia and Joseph Giovanelli and Pisano, Giuseppe},
journal = {Future Generation Computer Systems},
keywords = {Human-centered, AutoML, Logic, Argumentation, CRISP-DM, Data Scientist},
pages = {182--194},
title = {HAMLET: a framework for Human-centered AutoML via Structured Argumentation},
year = 2023
}
@article{deepqlearning-jlc2023,
abstract = {"{Autonomous robots can be employed in exploring unknown environments and performing many tasks, such as, e.g. detecting areas of interest, collecting target objects, etc. Deep reinforcement learning (RL) is often used to train this kind of robot. However, concerning the artificial environments aimed at testing the robot, there is a lack of available data sets and a long time is needed to create them from scratch. A good data set is in fact usually produced with high effort in terms of cost and human work to satisfy the constraints imposed by the expected results. In the first part of this paper, we focus on the specification of the properties of the solutions needed to build a data set, making the case of environment exploration. In the proposed approach, rather than using imperative programming, we explore the possibility of generating data sets using constraint programming in Prolog. In this phase, geometric predicates describe a virtual environment according to inter-space requirements. The second part of the paper is focused on testing the generated data set in an AI gym via space search techniques. We developed a Neuro-Symbolic agent built from the following: (i) A deep Q-learning component implemented in Python, able to address via RL a search problem in the virtual space; the agent has the goal to explore a generated virtual environment to seek for a target, improving its performance through a RL process. (ii) A symbolic component able to re-address the search when the Q-learning component gets stuck in a part of the virtual environment; these components stimulate the agent to move to and explore other parts of the environment. Wide experimentation has been performed, with promising results, and is reported, to demonstrate the effectiveness of the approach.}"},
apice = {DeepqlearningJlc2023},
author = {De Gasperis, Giovanni and Costantini, Stefania and Rafanelli, Andrea and Migliarini, Patrizio and Letteri, Ivan and Dyoub, Abeer},
doi = {10.1093/logcom/exad032},
eprint = {https://academic.oup.com/logcom/advance-article-pdf/doi/10.1093/logcom/exad032/50530031/exad032.pdf},
issn = {0955-792X},
journal = {Journal of Logic and Computation},
month = {06},
note = {exad032},
title = {"{Extension of constraint-procedural logic-generated environments for deep Q-learning agent training and benchmarking}"},
url = {https://doi.org/10.1093/logcom/exad032},
year = 2023
}
@inproceedings{asmeccecc2023,
abstract = {The Edge-Cloud Continuum (ECC) is an emerging paradigm for the holistic exploitation of all sorts of hardware resources. Compared with traditional cloud computing, ECC is more flexible, as it can operate with heterogeneous devices. ECC is thus particularly well-suited for implementing a compute infrastructure in contexts where hardware provisioning is not continuous, and where the need for resource sharing is high. This is the case, for instance, of research groups willing to share their computational resources, differing in terms of capabilities, maintenance, and provisioning. However, designing a small-scale ECC infrastructure is not trivial, as there are many admissible architectures, design choices, and technological solutions. In this paper, we report the experience of building a flexible architecture, involving both virtual and bare metal nodes, where researches can smoothly and occasionally (un)plug their own machines, and where computational tasks are dynamically balanced considering the currently available resources.},
apice = {AsmeccECC2023},
author = {Baiardi, Martina and Ciatto, Giovanni and Pianini, Danilo},
booktitle = {2023 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C)},
doi = {10.1109/ACSOS-C58168.2023.00052},
keywords = {Edge-cloud continuum, heterogeneous infrastructure, openness, scalability},
numpages = 6,
pages = {128--133},
publisher = {Springer},
title = {Infrastructures for the Edge-Cloud Continuum on a Small Scale: a Practical Case Study},
url = {https://ieeexplore.ieee.org/abstract/document/10336198},
urlpdf = {https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10336198},
year = 2023
}
@incollection{preface-extraamas2023,
apice = {PrefaceExtraamas2023},
author = {Calvaresi, Davide and Omicini, Andrea and Najjar, Amro and Främling, Kary},
booktitle = {Explainable and Transparent AI and Multi-Agent Systems},
editor = {Calvaresi, Davide and Najjar, Amro and Omicini, Andrea and Aydoǧan, Reyhan and Carli, Rachele and Ciatto, Giovanni and Mualla, Yazan and Främling, Kary},
eissn = {1611-3349},
iris = {11585/940744},
isbn = {978-3-031-40878-6},
issn = {0302-9743},
month = sep,
numpages = 1,
pages = {VI},
publisher = {Springer},
scopus = {2-s2.0-85172220251},
series = {Lecture Notes in Computer Science},
subseries = {Lecture Notes in Artificial Intelligence},
title = {Preface},
url = {https://link.springer.com/content/pdf/bfm:978-3-031-40878-6/1},
volume = 14127,
year = 2023
}
@article{vesna-robotics12,
apice = {VesnaRobotics12},
author = {Gatti, Andrea and Mascardi, Viviana},
dblp = {journals/robotics/GattiM23},
doi = {10.3390/ROBOTICS12020046},
issn = {2218-6581},
journal = {Robotics},
keywords = {virtual reality; chatbot; intelligent agents; factory automation},
number = 2,
pages = {46},
publisher = {MDPI},
title = {{VEsNA}, a Framework for Virtual Environments via Natural Language Agents and Its Application to Factory Automation},
url = {https://doi.org/10.3390/robotics12020046},
volume = 12,
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{on2conv-eumas2023,
address = {Cham},
apice = {On2convEumas2023},
author = {Esfahani, Zeinab Namakizadeh and Engelmann, Débora Cristina and Ferrando, Angelo and Margarone, Massimiliano and Mascardi, Viviana},
booktitle = {Multi-Agent Systems},
doi = {10.1007/978-3-031-43264-4_5},
editor = {Malvone, Vadim and Murano, Aniello},
isbn = {978-3-031-43264-4},
numpages = 17,
pages = {66--82},
publisher = {Springer Nature Switzerland},
series = {Lecture Notes in Computer Science},
title = {Integrating Ontologies and Cognitive Conversational Agents in {On2Conv}},
url = {https://link.springer.com/10.1007/978-3-031-43264-4_5},
volume = 14282,
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 = {https://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
}
@inproceedings{geoffairaequitas-ecai2023,
abstract = {Fairness has emerged as a critical concern in the field of machine learning impacting its application in various domains. While there have been successful attempts to tackle fairness, many existing analyses rely on sophisticated mathematical methods that may lack intuitive understanding. Drawing inspiration from successful applications in other areas of machine learning, in this study, we propose a GEOmetric Framework for Fairness – GEOFFair – that represents distributions, ML models, fairness constraints, and hypothesis spaces as vectors and sets. The geometric framework aims to provide a more intuitive and rigorous understanding of fairness in Artificial Intelligence (AI). It enables visualizing mitigation techniques as movements in the vector space and aids in constructing proofs-by-witness by quickly identifying examples or counter-examples. Furthermore, the geometric framework offers a platform for studying various fairness properties, including geometrical distances between fairness vectors, relative fairness comparisons, and the exploration of symmetries, invariances, and trade-offs between fairness metrics.},
apice = {GeoffairAequitasEcai2023},
author = {Alessandro Maggio and Luca Giuliani and Calegari, Roberta and Michele Lombardi and Milano, Michela},
booktitle = {Proceedings of the 1st Workshop on Fairness and Bias in AI, AEQUITAS 2023 co-located with 26th European Conference on Artificial Intelligence (ECAI 2023)},
iris = {11585/962379},
numpages = 17,
scopus = {2-s2.0-85177031947},
title = {A geometric framework for fairness},
url = {https://ceur-ws.org/Vol-3523/paper9.pdf},
urlopenaccess = {https://ceur-ws.org/Vol-3523/paper9.pdf},
urlpdf = {https://ceur-ws.org/Vol-3523/paper9.pdf},
year = 2023
}
@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
}
@proceedings{proceedings-ecai2023,
apice = {ProceedingsEcai2023},
author = {Calegari, Roberta and Andrea Aler Tubella and Gabriel González Castañe and Virginia Dignum and Milano, Michela},
iris = {11585/962621},
series = {CEUR Workshop Proceedings},
title = {Proceedings of the 1st Workshop on Fairness and Bias in AI, AEQUITAS 2023 co-located with 26th European Conference on Artificial Intelligence (ECAI 2023)},
url = {https://ceur-ws.org/Vol-3523/},
volume = 3523,
year = 2023
}
@misc{generativeaisurvey-arxiv230104655,
apice = {GenerativeaisurveyArxiv230104655},
author = {Gozalo-Brizuela, Roberto and Garrido-Merchan, Eduardo C.},
doi = {10.48550/ARXIV.2301.04655},
publisher = {arXiv},
title = {{ChatGPT} is not all you need. A State of the Art Review of large Generative {AI} models},
url = {https://arxiv.org/abs/2301.04655},
year = 2023
}
@inproceedings{cream-kr2023,
address = {Rhodes, Greece},
apice = {CreamKr2023},
author = {Sabbatini, Federico and Calegari, Roberta},
booktitle = {20th International Conference on Principles of Knowledge Representation and Reasoning},
doi = {10.24963/kr.2023/58},
editor = {Pierre Marquis and Tran Cao Son and Gabriele Kern-Isberner},
iris = {11585/893144},
isbn = {978-1-956792-02-7},
issn = {2334-1033},
keywords = {Explainable AI, Applications that combine KR with machine learning, Integrating knowledge representation and machine learning, KR and machine learning, inductive logic programming, knowledge acquisition},
month = aug,
pages = {593--603},
publisher = {IJCAI Organization},
scopus = {2-s2.0-85176733868},
title = {Explainable Clustering with {CREAM}},
url = {https://proceedings.kr.org/2023/58/},
urlpdf = {https://proceedings.kr.org/2023/58/kr2023-0058-sabbatini-et-al.pdf},
year = 2023
}
@article{agencynointelligence-pat2023,
apice = {AgencynointelligencePat2023},
author = {Floridi, Luciano},
doi = {10.2139/ssrn.4358789},
journal = {Philosophy \& Technology},
keywords = {Artificial Intelligence (AI), Large Language Models (LLMs), GPT3, ChatGPT, Limitations.},
numpages = 12,
title = {{AI} as Agency Without Intelligence: On {ChatGPT}, Large Language Models, and Other Generative Models},
url = {https://ssrn.com/abstract=4358789},
urlpdf = {https://deliverypdf.ssrn.com/delivery.php?ID=247104118003078115118091019123079111102048023015008020118084068112086005027098100088036101006014057116105115114116018065013009118044033055000113025102002065112096073024007094081007076066098030090086007065095107084122107080126119031088018123025083125024},
volume = 2023,
year = 2023
}
@inproceedings{vicinity-ximl2023,
address = {Krakov, Poland},
apice = {RankingfairAequitasEcai2023},
author = {Eleonora Misino and Calegari, Roberta and Michele Lombardi and Milano, Michela},
booktitle = {AEQUITAS 2023 – Proceedings of the 1st Workshop on Fairness and Bias in AI co-located with 26th European Conference on Artificial Intelligence (ECAI 2023)},
issn = {1613-0073},
keywords = {fair ranking, fair matchmaking, fairness in AI},
series = {CEUR Workshop Proceedings},
title = {{FAiRDAS}: Fairness-Aware Ranking as Dynamic Abstract System},
url = {https://ceur-ws.org/Vol-3523/paper5.pdf},
urlopenaccess = {https://ceur-ws.org/Vol-3523/paper5.pdf},
volume = 3523,
year = 2023
}
@article{almsurvey-tmlr2023,
abstract = {This survey reviews works in which language models (LMs) are augmented with reasoning skills and the ability to use tools. The former is defined as decomposing a potentially complex task into simpler subtasks while the latter consists in calling external modules such as a code interpreter. LMs can leverage these augmentations separately or in combination via heuristics, or learn to do so from demonstrations. While adhering to a standard missing tokens prediction objective, such augmented LMs can use various, possibly non-parametric external modules to expand their context processing ability, thus departing from the pure language modeling paradigm. We therefore refer to them as Augmented Language Models (ALMs). The missing token objective allows ALMs to learn to reason, use tools, and even act, while still performing standard natural language tasks and even outperforming most regular LMs on several benchmarks. In this work, after reviewing current advance in ALMs, we conclude that this new research direction has the potential to address common limitations of traditional LMs such as interpretability, consistency, and scalability issues.},
apice = {AlmsurveyTmlr2023},
arxiv = {2302.07842},
author = {Grégoire Mialon and Roberto Dessì and Maria Lomeli and Christoforos Nalmpantis and Ram Pasunuru and Roberta Raileanu and Baptiste Rozière and Timo Schick and Jane Dwivedi-Yu and Asli Celikyilmaz and Edouard Grave and Yann LeCun and Thomas Scialom},
issn = {2835-8856},
journal = {Transactions on Machine Learning Research},
month = jul,
note = {Survey Certification. Preprint as arXiv:2302.07842, 15 February 2023},
publisher = {Microtome Publishing},
title = {Augmented Language Models: a Survey},
url = {https://openreview.net/forum?id=jh7wH2AzKK},
urlopenaccess = {https://openreview.net/forum?id=jh7wH2AzKK},
year = 2023
}
@incollection{jakta-eumas2023,
address = {Cham},
apice = {KotlinBdiEumas2023},
author = {Baiardi, Martina and Burattini, Samuele and Ciatto, Giovanni and Pianini, Danilo},
booktitle = {Proceedings of the 20th European Conference on Multi-Agents Systems},
doi = {10.1007/978-3-031-43264-4_4},
editor = {Vadim Malvone and Aniello Murano},
isbn = {978-3-031-43264-4},
keywords = {BDI, AgentSpeak(L), DSL, Kotlin, JaKtA},
month = sep,
numpages = 17,
pages = {49--65},
publisher = {Springer, Cham},
series = {Lecture Notes in Computer Science},
subseries = {Lecture Notes in Artificial Intelligence},
title = {{JaKtA}: {BDI} Agent-Oriented Programming in Pure {K}otlin},
url = {https://link.springer.com/10.1007/978-3-031-43264-4_4},
year = 2023
}
@inproceedings{creepy-beware2023,
address = {Rome, Italy},
apice = {CreepyBeware2023},
author = {Sabbatini, Federico and Calegari, Roberta},
booktitle = {Proceedings of the 2nd Workshop on Bias, Ethical AI, Explainability and the Role of Logic and Logic Programming (BEWARE 2023)},
iris = {11585/962357},
keywords = {Explainable clustering, Explainable artificial intelligence, Symbolic knowledge extraction, PSyKE},
scopus = {2-s2.0-85183205073},
series = {CEUR Workshop Proceedings},
subseries = {AIxIA Series},
title = {Unveiling Opaque Predictors via Explainable Clustering: The {CReEPy} Algorithm},
url = {https://ceur-ws.org/Vol-3615/paper1.pdf},
volume = 3615,
year = 2023
}
@incollection{cooparg-aixia2022,
address = {Cham, Switzerland},
apice = {CoopargAixia2022},
author = {Pisano, Giuseppe and Calegari, Roberta and Omicini, Andrea},
booktitle = {AIxIA 2022 -- Advances in Artificial Intelligence},
chapter = 10,
dblp = {conf/aiia/PisanoCO22},
doi = {10.1007/978-3-031-27181-6_10},
editor = {Dovier, Agostino and Montanari, Angelo and Orlandini, Andrea},
eisbn = {978-3-031-27181-6},
institution = {University of Udine},
iris = {11585/926736},
isbn = {978-3-031-27180-9},
issn = {0302-9743},
keywords = {argumentation, arg2p, cooperative argumentation, multi-agent systems, cooperative reasoning},
lens = {006-679-674-213-11X},
location = {Udine, Italy},
month = mar,
note = {XXI International Conference of the Italian Association for Artificial Intelligence, AIxIA 2022, Udine, Italy, November 28 -- December 2, 2022, Proceedings},
numpages = 14,
openalex = {W4323903927},
pages = {140--153},
publisher = {Springer},
scholar = {611421105673679245},
scopus = {2-s2.0-85151050879},
series = {Lecture Notes in Computer Science},
subseries = {Lecture Notes in Artificial Intelligence},
title = {Multi-Agent Cooperative Argumentation in {Arg\textsf{2}P}},
url = {https://link.springer.com/10.1007/978-3-031-27181-6_10},
volume = 13796,
wos = {WOS:000999015100010},
year = 2023
}
@article{amaseditorial-applsci13,
apice = {AmaseditorialApplsci13},
articleno = 3027,
author = {Mariani, Stefano and Omicini, Andrea},
doi = {10.3390/app13053027},
editor = {Mariani, Stefano and Omicini, Andrea},
eissn = {2076-3417},
iris = {11585/920074},
journal = {Applied Sciences},
keywords = {multi-agent systems; intelligent system engineering; agent-based simulation; machine learning},
lens = {063-820-910-170-519},
month = feb,
number = 5,
numpages = 4,
openalex = {W4322502199},
publisher = {MDPI},
scholar = {243898902811364674},
scopus = {2-s2.0-85149948452},
semanticscholar = {257243494},
title = {Special Issue ``{A}dvances in {M}ulti-{A}gent {S}ystems'': Editorial},
url = {https://www.mdpi.com/2076-3417/13/5/3027},
volume = 13,
wos = {WOS:000948146800001},
year = 2023
}
@proceedings{extraamas2023,
apice = {Extraamas2023},
dblp = {conf/extraamas/2023},
doi = {10.1007/978-3-031-40878-6},
editor = {Calvaresi, Davide and Najjar, Amro and Omicini, Andrea and Aydoǧan, Reyhan and Carli, Rachele and Ciatto, Giovanni and Mualla, Yazan and Främling, Kary},
eissn = {1611-3349},
iris = {11585/940742},
isbn = {978-3-031-40878-6},
issn = {0302-9743},
lens = {014-917-413-627-059},
month = sep,
openalex = {W4386431365},
publisher = {Springer},
scholar = {14814311818144144043},
series = {Lecture Notes in Computer Science},
subseries = {Lecture Notes in Artificial Intelligence},
subtitle = {5th International Workshop, EXTRAAMAS 2023. London, UK, May 29, 2023. Revised Selected Papers},
title = {Explainable and Transparent {AI} and Multi-Agent Systems},
url = {https://link.springer.com/10.1007/978-3-031-40878-6},
urlpdf = {https://link.springer.com/content/pdf/10.1007/978-3-031-40878-6.pdf},
volume = 14127,
year = 2023
}
@article{rathje2023,
apice = {Rathje2023},
author = {Rathje, Steve and Roozenbeek, Jon and Van Bavel, Jay J. and van der Linden, Sander},
doi = {10.1038/s41562-023-01540-w},
journal = {Nature Human Behaviour},
month = jun,
pages = {892--903},
title = {Accuracy and Social Motivations Shape Judgements of {(Mis)Information}},
url = {https://www.nature.com/articles/s41562-023-01540-w},
urlopenaccess = {https://www.nature.com/articles/s41562-023-01540-w.pdf},
urlpdf = {https://www.nature.com/articles/s41562-023-01540-w.pdf},
volume = 7,
year = 2023
}
@incollection{psyketrust-aixia2022,
address = {Cham, Switzerland},
apice = {PsykeTrustAixia2022},
author = {Calegari, Roberta and Federico, Sabbatini},
booktitle = {AIxIA 2022},
doi = {10.1007/978-3-031-27181-6_1},
editor = {Dovier, Agostino and Montanari, Angelo and Orlandini, Andrea},
eisbn = {978-3-031-27181-6},
institution = {University of Udine},
isbn = {978-3-031-27180-9},
issn = {0302-9743},
location = {Udine, Italy},
month = mar,
note = {XXI International Conference of the Italian Association for Artificial Intelligence, AIxIA 2022, Udine, Italy, November 28 -- December 2, 2022, Proceedings},
numpages = 14,
pages = {3--16},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
subseries = {Lecture Notes in Artificial Intelligence},
title = {The {PSyKE} Technology for Trustworthy Artificial Intelligence},
url = {https://link.springer.com/10.1007/978-3-031-27181-6_1},
volume = 13796,
year = 2023
}
@proceedings{proc-aimmes2023,
abstract = {There were 24 papers submitted for peer-review to this workshop. Out of these, 6 papers were accepted for this volume, 6 as regular papers and 0 as short papers.},
apice = {ProcAimmes2023},
editor = {Calegari, Roberta and Carlos Castillo and Symeon Papadopoulos and Roger Soraa},
iris = {11585/996786},
publisher = {CEUR Workshop Proceedings},
title = {Proceedings of the 1st Workshop on AI bias: Measurements, Mitigation, Explanation Strategies co-located with the AI Fairness Cluster Inaugural Conference 2024},
url = {https://ceur-ws.org/Vol-3744/},
volume = 3744,
year = 2023
}
@inproceedings{fairness-ijcai2023,
address = {Macau, China},
apice = {FairnessIjcai2023},
author = {Calegari, Roberta and Castañé, Gabriel G. and Milano, Michela and O'Sullivan, Barry},
booktitle = {32nd International Joint Conference on Artificial Intelligence (IJCAI 2023)},
doi = {https://doi.org/10.24963/ijcai.2023/735},
iris = {11585/952623},
keywords = {AI Ethics, Trust, Fairness},
month = {August 19--25},
pages = {6554--6562},
publisher = {IJCAI},
scopus = {2-s2.0-85170394382},
title = {Assessing and Enforcing Fairness in the {AI} Lifecycle},
year = 2023
}
@article{arg2p-ail2023,
apice = {Arg2pAiandlaw},
author = {Robaldo, Livio and Batsakis, Sotiris and Calegari, Roberta and Calimeri, Francesco and Fujita, Megumi and Governatori, Guido and Morelli, Maria Concetta and Pacenza, Francesco and Pisano, Giuseppe and Satoh, Ken and Tachmazidis, Ilias and Zangari, Jessica},
doi = {10.1007/s10506-023-09360-z},
eissn = {1572-8382},
issn = {0924-8463},
journal = {Artificial Intelligence and Law},
keywords = {Compliance checking, First-order knowledge, LegalTech},
month = jun,
numpages = 51,
title = {Compliance checking on first-order knowledge with conflicting and compensatory norms: a comparison among currently available technologies},
url = {https://link.springer.com/10.1007/s10506-023-09360-z},
year = 2023
}
@inproceedings{explainableclustering-woa2023,
apice = {ExplainableclusteringWoa2023},
author = {Sabbatini, Federico and Calegari, Roberta},
booktitle = {WOA 2023 -- 24th Workshop ``From Objects to Agents''},
editor = {Rino Falcone and Cristiano Castelfranchi and Alessandro Sapienza and Filippo Cantucci},
iris = {11585/952626},
issn = {1613-0073},
keywords = {Explainable clustering, Explainable artificial intelligence, Symbolic knowledge extraction, PSyKE},
month = nov,
numpages = 14,
pages = {232--245},
publisher = {Sun SITE Central Europe, RWTH Aachen University},
scopus = {2-s2.0-85179624285},
series = {CEUR Workshop Proceedings},
subseries = {AIxIA Series},
title = {Unlocking Insights and Trust: The Value of Explainable Clustering Algorithms for Cognitive Agents},
url = {https://ceur-ws.org/Vol-3579/paper18.pdf},
urlopenaccess = {https://ceur-ws.org/Vol-3579/paper18.pdf},
urlpdf = {https://ceur-ws.org/Vol-3579/paper18.pdf},
volume = 3579,
year = 2023
}
@inproceedings{rv4rasa-vortex2023,
address = {Seattle, WA, USA},
apice = {Rv4rasaVortex2023},
author = {Ferrando, Angelo and Gatti, Andrea and Mascardi, Viviana},
booktitle = {Proceedings of the 6th International Workshop on Verification and Monitoring at Runtime Execution (VORTEX 2023)},
doi = {10.1145/3605159.3605855},
editor = {Ancona, Davide and Audrito, Giorgio},
isbn = {979-8-4007-0249-5},
month = {18~} # jul,
pages = {1--8},
publisher = {ACM},
title = {{RV4Rasa}: {A} Formalism-Agnostic Runtime Verification Framework for Verifying ChatBots in {R}asa},
url = {https://dl.acm.org/doi/10.1145/3605159.3605855},
year = 2023
}
@inproceedings{fire-ecai2023,
address = {Krakov, Poland},
apice = {FireEcai2023},
author = {Sabbatini, Federico and Calegari, Roberta},
booktitle = {26th European Conference on Artificial Intelligence, September 30–October 4, 2023, Kraków, Poland -- Including 12th Conference on Prestigious Applications of Intelligent Systems (PAIS 2023)},
doi = {10.3233/FAIA230496},
editor = {Kobi Gal and Ann Nowé and Grzegorz J. Nalepa and Roy Fairstein and Roxana Rădulescu},
eissn = {978-1-64368-437-6},
iris = {11585/952617},
pages = {2033--2040},
scopus = {2-s2.0-85175827763},
series = {Frontiers in Artificial Intelligence and Applications},
subseries = {ECAI 2023},
title = {Symbolic Knowledge-Extraction Evaluation Metrics: The {FiRe} Score},
url = {https://ebooks.iospress.nl/doi/10.3233/FAIA230496},
volume = 372,
year = 2023
}
@proceedings{proceedings-iclp2023,
apice = {ProceedingsICLP2023},
doi = {10.4204/EPTCS.385},
editor = {Enrico Pontelli and Stefania Costantini and Carmine Dodaro and Sarah Gaggl and Calegari, Roberta and Artur D'Avila Garcez and Francesco Fabiano and Alessandra Mileo and Alessandra Russo and Francesca Toni},
iris = {11585/962635},
title = {EPTCS 385-Proceedings 39th International Conference on Logic Programming},
year = 2023
}
@article{skerecommender-cmbp235,
acm = {10.1016/j.cmpb.2023.107536},
apice = {SkerecommenderCmbp235},
articleno = 107536,
author = {Magnini, Matteo and Ciatto, Giovanni and Cantürk, Furkan and Aydoǧan, Reyhan and Omicini, Andrea},
dblp = {journals/cmpb/MagniniCCAO23},
doi = {10.1016/j.cmpb.2023.107536},
iris = {11585/923772},
issn = {0169-2607},
journal = {Computer Methods and Programs in Biomedicine},
keywords = {explainable artificial intelligence, symbolic knowledge extraction, recommendation systems, nutrition, neural networks},
lens = {046-208-009-872-49X},
month = jun,
numpages = 32,
openalex = {W4362641065},
pubmed = {37060685},
scholar = {14455392383017605572},
scopus = {2-s2.0-85152230884},
semanticscholar = {261426939},
title = {Symbolic Knowledge Extraction for Explainable Nutritional Recommenders},
url = {https://www.sciencedirect.com/science/article/pii/S0169260723002018},
volume = 235,
wos = {WOS:000983750400001},
year = 2023
}
@inproceedings{planbench-neurips2023,
apice = {PlanbenchNeurips2023},
author = {Karthik Valmeekam and Matthew Marquez and Alberto Olmo and Sarath Sreedharan and Subbarao Kambhampati},
booktitle = {37th Conference on Neural Information Processing Systems (NeurIPS 2023) -- Datasets and Benchmarks Track},
doi = {10.52202/075280-1693},
title = {PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change},
url = {https://proceedings.neurips.cc/paper_files/paper/2023/hash/7a92bcdede88c7afd108072faf5485c8-Abstract-Datasets_and_Benchmarks.html},
year = 2023
}
publications
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2023
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personal
Andrea Agiollo
•
Roberta Calegari
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Giovanni Ciatto
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Enrico Denti
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Matteo Magnini
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Mattia Matteini
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Sara Montagna
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Andrea Omicini
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Giuseppe Pisano
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Federico Sabbatini