@article{woa2021editorial-ia16,
author = {Calegari, Roberta and Ciatto, Giovanni and Omicini, Andrea and Vizzari, Giuseppe},
dblp = {journals/ia/CalegariCOV22},
doi = {10.3233/IA-220141},
editor = {Calegari, Roberta and Ciatto, Giovanni and Omicini, Andrea and Vizzari, Giuseppe},
eissn = {2211-0097},
iris = {11585/890645},
issn = {1724-8035},
journal = {Intelligenza Artificiale},
month = jul,
note = {Editorial},
number = 1,
numpages = 3,
pages = {3--5},
publisher = {IOS Press},
scholar = {6709418487090647027},
scopus = {2-s2.0-85134154125},
semanticscholar = {250399907},
title = {Special Issue for the 22nd {W}orkshop ``{F}rom {O}bjects to {A}gents'' ({WOA} 2021)},
url = {https://content.iospress.com/articles/intelligenza-artificiale/ia220141},
urlopenaccess = {https://content.iospress.com/download/intelligenza-artificiale/ia220141?id=intelligenza-artificiale/ia220141},
volume = 16,
wos = {WOS:000825367300001},
year = 2022
} @article{psyke-ia16,
author = {Sabbatini, Federico and Ciatto, Giovanni and Calegari, Roberta and Omicini, Andrea},
dblp = {journals/ia/SabbatiniCCO22},
doi = {10.3233/IA-210120},
editor = {Calegari, Roberta and Ciatto, Giovanni and Omicini, Andrea and Vizzari, Giuseppe},
eissn = {2211-0097},
iris = {11585/890822},
issn = {1724-8035},
journal = {Intelligenza Artificiale},
keywords = {Explainable AI, knowledge extraction, interpretable prediction, PSyKE},
month = jul,
number = 1,
numpages = 22,
pages = {27--48},
publisher = {IOS Press},
scholar = {7559675640918015038},
scopus = {2-s2.0-85134193338},
semanticscholar = {250400188},
title = {Symbolic knowledge extraction from opaque {ML} predictors in {PSyKE}: Platform design \& experiments},
url = {https://content.iospress.com/articles/intelligenza-artificiale/ia220141},
volume = 16,
wos = {WOS:000825367300003},
year = 2022
} @article{arg2p-jlc32,
author = {Calegari, Roberta and Pisano, Giuseppe and Omicini, Andrea and Sartor, Giovanni},
dblp = {journals/logcom/CalegariOPS22},
doi = {10.1093/logcom/exab089},
editors = {Calimeri, Francesco and Perri, Simona and Zumpano. Ester},
iris = {11585/877812},
issn = {0955-792X},
journal = {Journal of Logic and Computation},
keywords = {Arg2P, intelligent systems engineering, explainable intelligent systems, logic-based technology, argumentation, defeasible reasoning, multi-agent systems},
month = mar,
note = {{S}pecial {I}ssue from the 35th Italian Conference on Computational Logic ({CILC} 2020)},
number = 2,
pages = {369--401},
publisher = {Oxford University Press},
scholar = {7687317421217944977},
scopus = {2-s2.0-85126283334},
title = {{Arg\textsf{2}P}: An argumentation framework for explainable intelligent systems},
url = {https://academic.oup.com/logcom/article-abstract/32/2/369/6513341},
volume = 32,
wos = {000762067600009},
year = 2022
} @incollection{burdenofpersuasion-aixia2021,
address = {Cham},
author = {Pisano, Giuseppe and Calegari, Roberta and Omicini, Andrea and Sartor, Giovanni},
booktitle = {AIxIA 2021 -- Advances in Artificial Intelligence},
dblp = {conf/aiia/PisanoCOS21},
doi = {10.1007/978-3-031-08421-8_8},
editor = {Bandini, Stefania and Gasparini, Francesca and Mascardi, Viviana and Palmonari, Matteo and Vizzari, Giuseppe},
iris = {11585/893244},
isbn = {978-3-031-08421-8},
keywords = {Burdens of persuasion · Argumentation · Meta-argumentation},
location = {Milan, Italy},
month = jul,
pages = {104--119},
publisher = {Springer International Publishing},
scholar = {17799901578643288638},
scopus = {2-s2.0-85135015182},
series = {Lecture Notes in Computer Science},
subseries = {AI*IA Series},
title = {Burden of Persuasion in Meta-argumentation},
url = {http://link.springer.com/10.1007/978-3-031-08421-8_8},
urlopenaccess = {https://cris.unibo.it/retrieve/005890bb-146a-4ab9-9b0b-63a7032c6e9d/AIxIA2021-METABP.pdf},
urlpdf = {https://link.springer.com/content/pdf/10.1007/978-3-031-08421-8_8.pdf},
volume = 13196,
wos = {WOS:000876859300008},
year = 2022
} @incollection{swpsyke-extraamas2022,
author = {Sabbatini, Federico and Ciatto, Giovanni and Omicini, Andrea},
booktitle = {Explainable and Transparent AI and Multi-Agent Systems},
chapter = 8,
dblp = {conf/atal/SabbatiniCO22},
doi = {10.1007/978-3-031-15565-9_8},
editor = {Calvaresi, Davide and Najjar, Amro and Winikoff, Michael and Främling, Kary},
iris = {11585/899474},
isbn = {978-3-031-15564-2},
keywords = {Symbolic Knowledge Injection, Explainable AI, XAI, Neural Networks, PSyKI},
numpages = 19,
pages = {124--142},
publisher = {Springer},
scholar = {11339767386934277898},
scopus = {2-s2.0-85140488560},
series = {Lecture Notes in Computer Science},
subtitle = {4th International Workshop, EXTRAAMAS 2022, Virtual Event, May 9–10, 2022, Revised Selected Papers},
title = {Semantic Web-Based Interoperability for Intelligent Agents with {PSyKE}},
url = {http://link.springer.com/10.1007/978-3-031-15565-9_8},
urlpdf = {https://link.springer.com/content/pdf/10.1007/978-3-031-15565-9_8.pdf},
volume = 13283,
wos = {WOS:000870042100008},
year = 2022
} @incollection{psyki-extraamas2022,
author = {Magnini, Matteo and Ciatto, Giovanni and Omicini, Andrea},
booktitle = {Explainable and Transparent AI and Multi-Agent Systems},
chapter = 6,
dblp = {conf/atal/MagniniCO22},
doi = {10.1007/978-3-031-15565-9_6},
editor = {Calvaresi, Davide and Najjar, Amro and Winikoff, Michael and Främling, Kary},
eisbn = {978-3-031-15565-9},
eissn = {1611-3349},
iris = {11585/899511},
isbn = {978-3-031-15564-2},
issn = {0302-9743},
keywords = {Symbolic Knowledge Injection, Explainable AI, XAI, Neural Networks, PSyKI},
note = {4th International Workshop, EXTRAAMAS 2022, Virtual Event, May 9--10, 2022, Revised Selected Papers},
pages = {90--108},
publisher = {Springer},
scholar = {7587528289517313138},
scopus = {2-s2.0-85138317005},
semanticscholar = {252545848},
series = {Lecture Notes in Computer Science},
title = {On the Design of {PSyKI}: a Platform for Symbolic Knowledge Injection into Sub-Symbolic Predictors},
url = {https://link.springer.com/chapter/10.1007/978-3-031-15565-9_6},
urlpdf = {https://link.springer.com/content/pdf/10.1007/978-3-031-15565-9_6.pdf},
volume = 13283,
wos = {WOS:000870042100006},
year = 2022
} 
0000-0002-6655-3869