Yu, Zhe; Ju, Shier Getting consensus through a context-based argumentation framework. (English) Zbl 1484.68237 Liao, Beishui (ed.) et al., Logics for new-generation AI 2021. First international workshop, LNGAI 2021, June, 18–20 2021, Hangzhou, China. London: College Publications. 132-145 (2021). Summary: Argumentation must take place within some contexts, which contains particular norms and values. This paper introduces a revised version of the context-based argumentation framework proposed in a previous paper. The argumentation theory is mainly built upon \(\mathrm{ASPIC}^+\). Meanwhile, ideas behind the definition of contexts and consensus are inspired by the generalized argumentation theory. Compared with other work dealing with multi-agent reasoning based on formal argumentation, this paper emphasizes the dynamic feature of contexts and proposes an approach to obtain consensus that combines a pragmatic perspective.For the entire collection see [Zbl 1483.68009]. MSC: 68T27 Logic in artificial intelligence Keywords:structured argumentation; contexts; values; consensus PDFBibTeX XMLCite \textit{Z. Yu} and \textit{S. Ju}, in: Logics for new-generation AI 2021. First international workshop, LNGAI 2021, June, 18--20 2021, Hangzhou, China. London: College Publications. 132--145 (2021; Zbl 1484.68237)