@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{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
}@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{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
}@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
}@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
}@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
}@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
}@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
}@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{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
}
0000-0002-1841-8996