@inproceedings{a1ca99a911b1435986293c33ea2434a5,
title = "A Comparative Study of Defeasible Argumentation and Non-monotonic Fuzzy Reasoning for Elderly Survival Prediction Using Biomarkers",
abstract = "Computational argumentation has been gaining momentum as a solid theoretical research discipline for inference under uncertainty with incomplete and contradicting knowledge. However, its practical counterpart is underdeveloped, with a lack of studies focused on the investigation of its impact in real-world settings and with real knowledge. In this study, computational argumentation is compared against non-monotonic fuzzy reasoning and evaluated in the domain of biological markers for the prediction of mortality in an elderly population. Different non-monotonic argument-based models and fuzzy reasoning models have been designed using an extensive knowledge base gathered from an expert in the field. An analysis of the true positive and false positive rate of the inferences of such models has been performed. Findings indicate a superior inferential capacity of the designed argument-based models.",
keywords = "Argumentation Theory, Biomarkers, Defeasible reasoning, Fuzzy reasoning, Non-monotonic reasoning, Possibility Theory",
author = "Lucas Rizzo and Ljiljana Majnaric and Luca Longo",
note = "Publisher Copyright: {\textcopyright} 2018, Springer Nature Switzerland AG.; 17th Conference of the Italian Association for Artificial Intelligence, AI*IA 2018 ; Conference date: 20-11-2018 Through 23-11-2018",
year = "2018",
doi = "10.1007/978-3-030-03840-3_15",
language = "English",
isbn = "9783030038397",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "197--209",
editor = "Chiara Ghidini and Paolo Traverso and Bernardo Magnini and Andrea Passerini",
booktitle = "AI*IA 2018 – Advances in Artificial Intelligence - 17th International Conference of the Italian Association for Artificial Intelligence, Proceedings",
address = "Germany",
}