by Federico Sabbatini, Giovanni Ciatto, Roberta Calegari, and Andrea Omicini
How to access URL: http://ceur-ws.org/Vol-2963/paper14.pdf Abstract A common practice in modern explainable AI is to post-hoc explain black-box machine learning (ML) predictors – such as neural networks – by extracting symbolic knowledge out of them, in the form of either rule lists or decision trees. By acting as a surrogate model, the extracted knowledge aims at revealing the inner working of the black box, thus enabling its inspection, representation, and explanation.
by Giovanni Ciatto, Roberta Calegari, and Andrea Omicini
Abstract To date, logic-based technologies are either built on top or as extensions of the Prolog language, mostly working as monolithic solutions tailored upon specific inference procedures, unification mechanisms, or knowledge representation techniques. Instead, to maximise their impact, logic-based technologies should support and enable the general-purpose exploitation of all the manifold contributions from logic programming. Accordingly, we present 2P-Kt, a reboot of the tuProlog project offering a general, extensible, and interoperable ecosystem for logic programming and symbolic AI.
by Giuseppe Pisano, Roberta Calegari, and Andrea Omicini
Abstract We discuss the problem of cooperative argumentation in multi-agent systems, focusing on the computational model. An actor-based model is proposed as a first step towards cooperative argumentation in multi-agent systems to tackle distribution issues—illustrating a preliminary fully-distributed version of the argumentation process completely based on message passing.
How to access URL: http://ceur-ws.org/Vol-2963/paper17.pdf How to cite Bibtex @inproceedings{distributedarg-woa2021, author = {Pisano, Giuseppe and Calegari, Roberta and Omicini, Andrea}, booktitle = {WOA 2021 -- 22nd Workshop ``From Objects to Agents''}, editor = {Calegari, Roberta and Ciatto, Giovanni and Denti, Enrico and Omicini, Andrea and Sartor, Giovanni}, issn = {1613-0073}, keywords = {Argumentation, MAS, cooperative argumentation, distributed argumentation process}, location = {Bologna, Italy}, month = oct, note = {22nd Workshop ``From Objects to Agents'' (WOA 2021), Bologna, Italy, 1--3~} # sep # {~2021.
by Contreras, Victor and Aydoğan, Reyhan and Najjar, Amro and Calvaresi, Davide
Abstract TBD
How to access URL: http://publications.hevs.ch/index.php/publications/show/2883 How to cite Bibtex @incollection{canc-bnaic-2021-explanable-negotiations, address = {}, author = {Contreras, Victor and Aydoğan, Reyhan and Najjar, Amro and Calvaresi, Davide}, booktitle = {Proceedings of BNAIC 2021}, doi = {}, editor = {}, isbn = {}, isbn-online = {}, issn = {}, keywords = {explainable negotiation}, pages = {}, publisher = {ACM}, series = {}, subseries = {}, title = {On Explainable Negotiations via Argumentation}, url = {http://publications.
by Graziani, Mara and Dutkiewicz, Lidia and Calvaresi, Davide and Amorim, Jos{'e} Pereira and Yordanova, Katerina and Vered, Mor and Nair, Rahul and Abreu, Pedro Henriques and Blanke, Tobias and Pulignano, Valeria and Prior, John O. and Lauwaert, Lode and Reijers, Wessel and Depeursinge, Adrien and Andrearczyk, Vincent and Müller, Henning
Abstract Since its emergence in the 1960s, Artificial Intelligence (AI) has grown to conquer many technology products and their fields of application.
