# Authors Title Details Date Pdf/Links/Bibtex Keywords
5Rizzo L., Longo L.Comparing and extending the use of defeasible argumentation with quantitative data in real-world contexts Information fusion 2023 Defeasible Argumentation Knowledge-based Systems Non-monotonic Reasoning Fuzzy Logic Expert Systems Computational Trust
10.1016/j.inffus.2022.08.025
4Longo L., Rizzo L. Dondio P.Examining the modelling capabilities of defeasible argumentation and non-monotonic fuzzy reasoning Knowledge-Based Systems 2021 Defeasible reasoning Non-monotonic reasoning Fuzzy logic Argumentation Empirical research Knowledge-representation Mental workload.
10.1016/j.knosys.2020.106514
3Rizzo, L., Longo L.An empirical evaluation of the inferential capacity of defeasible argumentation, non-monotonic fuzzy reasoning and expert systems Expert Systems with Applications 2020 Defeasible Argumentation Argumentation Theory Explainable Artificial Intelligence Non-monotonic Reasoning Fuzzy Logic Expert Systems Mental Workload
10.1016/j.eswa.2020.113220
2Rizzo L., Longo L.Inferential models of mental workload with defeasible argumentation and non-monotonic fuzzy reasoning: a comparative study 2nd Workshop on Advances In Argumentation In Artificial Intelligence, co-located with XVII International Conference of the Italian Association for Artificial Intelligence 2019 Argumentation Theory Non-monotonic Reasoning Fuzzy Logic Mental workload Defeasible Reasoning Modeling Artificial Intelligence
1Dondio P., Longo L.Computing Trust as a form of Presumptive Reasoning IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT) 2014 Computational Trust Online communities fuzzy logics Presumptive Reasoning Modeling Artificial Intelligence
10.1109/WI-IAT.2014.108
# Authors Title Details Date Pdf/Links/Bibtex Keywords