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Inferential Models of Mental Workload with Defeasible Argumentation and Non-monotonic Fuzzy Reasoning: a Comparative Study.

, and . AI³@AI*IA, volume 2296 of CEUR Workshop Proceedings, page 11-26. CEUR-WS.org, (2018)

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Examining the modelling capabilities of defeasible argumentation and non-monotonic fuzzy reasoning., , and . Knowl. Based Syst., (2021)On Demonstrating the Impact of Defeasible Reasoning in Practice via a Multi-layer Argument-based Framework.. AAMAS, page 1857-1858. ACM, (2017)Comparing and extending the use of defeasible argumentation with quantitative data in real-world contexts., and . Inf. Fusion, (2023)A Novel Structured Argumentation Framework for Improved Explainability of Classification Tasks.. xAI (3), volume 1903 of Communications in Computer and Information Science, page 399-414. Springer, (2023)Modeling Mental Workload Via Rule-Based Expert System: A Comparison with NASA-TLX and Workload Profile., , , and . AIAI, volume 475 of IFIP Advances in Information and Communication Technology, page 215-229. Springer, (2016)A Qualitative Investigation of the Explainability of Defeasible Argumentation and Non-Monotonic Fuzzy Reasoning., and . AICS, volume 2259 of CEUR Workshop Proceedings, page 138-149. CEUR-WS.org, (2018)An Investigation of Argumentation Theory for the Prediction of Survival in Elderly Using Biomarkers., , , and . AIAI, volume 519 of IFIP Advances in Information and Communication Technology, page 385-397. Springer, (2018)Comparing and extending the use of defeasible argumentation with quantitative data in real-world contexts., and . CoRR, (2022)An empirical evaluation of the inferential capacity of defeasible argumentation, non-monotonic fuzzy reasoning and expert systems., and . Expert Syst. Appl., (2020)A novel structured argumentation framework for improved explainability of classification tasks., and . CoRR, (2023)