David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
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Cambridge University Press (2008)
Recent work in artificial intelligence has increasingly turned to argumentation as a rich, interdisciplinary area of research that can provide new methods related to evidence and reasoning in the area of law. Douglas Walton provides an introduction to basic concepts, tools and methods in argumentation theory and artificial intelligence as applied to the analysis and evaluation of witness testimony. He shows how witness testimony is by its nature inherently fallible and sometimes subject to disastrous failures. At the same time such testimony can provide evidence that is not only necessary but inherently reasonable for logically guiding legal experts to accept or reject a claim. Walton shows how to overcome the traditional disdain for witness testimony as a type of evidence shown by logical positivists, and the views of trial sceptics who doubt that trial rules deal with witness testimony in a way that yields a rational decision-making process
|Keywords||Law Methodology Witnesses Evidence (Law Reasoning Artificial intelligence Relevance (Philosophy|
|Categories||categorize this paper)|
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|Call number||K213.W355 2008|
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Citations of this work BETA
Adam J. L. Harris, Ulrike Hahn, Jens K. Madsen & Anne S. Hsu (2015). The Appeal to Expert Opinion: Quantitative Support for a Bayesian Network Approach. Cognitive Science 39 (8):n/a-n/a.
Norman Fenton, Martin Neil & David A. Lagnado (2013). A General Structure for Legal Arguments About Evidence Using Bayesian Networks. Cognitive Science 37 (1):61-102.
Axel Gelfert (2011). Expertise, Argumentation, and the End of Inquiry. Argumentation 25 (3):297-312.
Ulrike Hahn & Jos Hornikx (forthcoming). A Normative Framework for Argument Quality: Argumentation Schemes with a Bayesian Foundation. Synthese:1-41.
Tim Kenyon (forthcoming). Oral History and The Epistemology of Testimony. Social Epistemology:1-22.
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