A privacy-preserving dialogue system based on argumentation

Autor: Bettina Fazzinga, Andrea Galassi, Paolo Torroni

Publikováno v: Intelligent Systems with Applications, Vol 16, Iss , Pp 200113- (2022)

Dialogue systems are a class of increasingly popular AI-based solutions to support timely and interactive communication with users in many domains. Due to the apparent possibility of users disclosing their sensitive data when interacting with such sy

Externí odkaz: https://doaj.org/article/81ac70f24e544ebdba9598a9f2e6d52d

Abstract Argumentation Frameworks with Marginal Probabilities

Autor: Bettina Fazzinga, Sergio Flesca, Filippo Furfaro

Publikováno v: Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence.

In the context of probabilistic AAFs, we intro- duce AAFs with marginal probabilities (mAAFs) requiring only marginal probabilities of argu- ments/attacks to be specified and not relying on the independence assumption. Reasoning over mAAFs requires t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::349e66a4aade25ad073ca33ec884456c
https://doi.org/10.24963/ijcai.2022/362

Efficiently computing extensions’ probabilities over probabilistic Bipolar Abstract Argumentation Frameworks

Autor: Bettina Fazzinga, Filippo Furfaro, Francesco Scala, Sergio Flesca

Publikováno v: Intelligenza Artificiale 13 (2019): 189–200. doi:10.3233/IA-190029
info:cnr-pdr/source/autori:Fazzinga, Bettina; Flesca, Sergio; Furfaro, Filippo; Scala, Francesco/titolo:Efficiently computing extensions' probabilities over probabilistic Bipolar Abstract Argumentation Frameworks/doi:10.3233%2FIA-190029/rivista:Intelligenza Artificiale/anno:2019/pagina_da:189/pagina_a:200/intervallo_pagine:189–200/volume:13

Probabilistic Bipolar Abstract Argumentation Frameworks (prBAFs), combining the possibility of specifying supports between arguments with a probabilistic modeling of the uncertainty, have been recently considered [34, 35] and the complexity of the pr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3dd76c68ce331aa84c3c18719f0217bf
https://doi.org/10.3233/ia-190029

Complexity of fundamental problems in probabilistic abstract argumentation: Beyond independence

Autor: Bettina Fazzinga, Filippo Furfaro, Sergio Flesca

Publikováno v: International Joint Conference on Artificial Intelligence, 10/08/2019-16/08/2019
info:cnr-pdr/source/autori:Bettina Fazzinga, Sergio Flesca, Filippo Furfaro/congresso_nome:International Joint Conference on Artificial Intelligence/congresso_luogo:/congresso_data:10%2F08%2F2019-16%2F08%2F2019/anno:2019/pagina_da:/pagina_a:/intervallo_pagine
Artificial intelligence (Gen. ed.) 268 (2019): 1–29. doi:10.1016/j.artint.2018.11.003
info:cnr-pdr/source/autori:Fazzinga B.; Flesca S.; Furfaro F./titolo:Complexity of fundamental problems in probabilistic abstract argumentation: Beyond independence/doi:10.1016%2Fj.artint.2018.11.003/rivista:Artificial intelligence (Gen. ed.)/anno:2019/pagina_da:1/pagina_a:29/intervallo_pagine:1–29/volume:268

The complexity of the probabilistic counterparts of the classical verification and acceptance problems is investigated over probabilistic Abstract Argumentation Frameworks (prAAFs), in a setting more general than that considered in the current litera

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3f36419bb29dca2b6c9629415189d0b
https://doi.org/10.1016/j.artint.2018.11.003

Interpreting RFID tracking data for simultaneously moving objects: An offline sampling-based approach

Autor: Francesco Parisi, Sergio Flesca, Bettina Fazzinga, Filippo Furfaro

Publikováno v: Expert systems with applications 152 (2020). doi:10.1016/j.eswa.2020.113368
info:cnr-pdr/source/autori:Fazzinga, Bettina; Flesca, Sergio; Furfaro, Filippo; Parisi, Francesco/titolo:Interpreting RFID tracking data for simultaneously moving objects: An offline sampling-based approach/doi:10.1016%2Fj.eswa.2020.113368/rivista:Expert systems with applications/anno:2020/pagina_da:/pagina_a:/intervallo_pagine:/volume:152

We consider the scenario of multiple RFID-tagged objects that simultaneously move across an indoor space where several RFID antennas are placed. We assume that a logical partition of the indoor space into a set of locations is given, along with a set

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::363182a5b657904bb99881b4c561dfa1