2013/03/06 by John Fox, Fox, John, Paul J. Krause +3
Computer Science · #Advanced Algebra and Logic #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Logic, Reasoning, and Knowledge #Rough Sets and Fuzzy Logic #cs.AI
paper · pdf · doi:10.48550/arxiv.1303.1505
Appears in Proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence (UAI1993)
arxiv created 2013/03/06 · openalex publication_date 2013/03/06 · arxiv updated 2013/03/08 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Argumentation is the process of constructing arguments about propositions, and the assignment of statements of confidence to those propositions based on the nature and relative strength of their supporting arguments. The process is modelled as a labelled deductive system, in which propositions are doubly labelled with the grounds on which they are based and a representation of the confidence attached to the argument. Argument construction is captured by a generalized argument consequence relation based on the ^,--fragment of minimal logic. Arguments can be aggregated by a variety of numeric and symbolic flattening functions. This approach appears to shed light on the common logical structure of a variety of quantitative, qualitative and defeasible uncertainty calculi.