Argumentation 30 (3):317-340 (2016)
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Abstract |
Even though tools for identifying and analyzing arguments are now in wide use in the field of argumentation studies, so far there is a paucity of resources for evaluating real arguments, aside from using deductive logic or Bayesian rules that apply to inductive arguments. In this paper it is shown that recent developments in artificial intelligence in the area of computational systems for modeling defeasible argumentation reveal a different approach that is currently making interesting progress. It is shown how these systems provide the general outlines for a system of argument evaluation that can be applied to legal arguments as well as everyday conversational arguments to assist a user to evaluate an argument.
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Keywords | Computational systems Defeasible argumentation Argument graphs Bayesian rules Schemes Audience Argument from expert opinion Carneades Argumentation System |
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DOI | 10.1007/s10503-015-9387-x |
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References found in this work BETA
Judgment Under Uncertainty: Heuristics and Biases.Daniel Kahneman, Paul Slovic & Amos Tversky (eds.) - 1982 - Cambridge University Press.
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Citations of this work BETA
Schemes, Critical Questions, and Complete Argument Evaluation.Shiyang Yu & Frank Zenker - 2020 - Argumentation 34 (4):469-498.
Evaluating Arguments From a Play About Ethics in Science: A Study with Medical Learners.Pablo Archila - 2018 - Argumentation 32 (1):53-76.
Commentary on Visser on Computer Support for Pragma-Dialectic Argumentation Analysis.Ami Mamolo - unknown
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2015-11-05
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36 ( #287,216 of 2,420,313 )
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3 ( #248,854 of 2,420,313 )
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