Probabilistic assumption-based argumentation with DST evidence
作者： Nguyen duy Hung
DOI: 10.1109/IFSA-SCIS.2017.8023355
关键词: Probabilistic logic 、 Probabilistic argumentation 、 Mathematics 、 Argumentation theory 、 Artificial intelligence
摘要: We study the relationships between two prominent approaches to, respectively, non-additive degrees of belief and probabilistic argumentation: Demspter-Shafer Theory (DST) Probabilistic Assumption-based Argumentation (PABA). In particular we show that each DST body evidence can be represented by a PABA framework, combination rules simulated canonical rule for combining frameworks. then develop framework capable taking directly besides logical knowledge. illustrate how this naturally models decision making situation alone seems ill-suited.
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