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Forecasting with jury-based probabilistic argumentation
Journal of Applied Non-Classical Logics 33 (3):224-243 (2023)
Abstract
1. The benefits resulting from a combination of quantitative (e.g. probabilistic) and qualitative (e.g. logic-based) reasoning are widely acknowledged (e.g. see Domingos et al., 2006; Poole, 2011)....Author's Profile
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References found in this work
On the acceptability of arguments and its fundamental role in nonmonotonic reasoning, logic programming and n-person games.Phan Minh Dung - 1995 - Artificial Intelligence 77 (2):321-357.
An abstract, argumentation-theoretic approach to default reasoning.A. Bondarenko, P. M. Dung, R. A. Kowalski & F. Toni - 1997 - Artificial Intelligence 93 (1-2):63-101.
Computing ideal sceptical argumentation.P. M. Dung, P. Mancarella & F. Toni - 2007 - Artificial Intelligence 171 (10-15):642-674.
A tutorial on assumption-based argumentation.Francesca Toni - 2014 - Argument and Computation 5 (1):89-117.
Dialectic proof procedures for assumption-based, admissible argumentation.P. M. Dung, R. A. Kowalski & F. Toni - 2006 - Artificial Intelligence 170 (2):114-159.
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