Aristotelian Dialectic, Argumentation Theory and Artificial Intelligence

Author(s):  
Douglas Walton
Author(s):  
Shohreh Haddadan ◽  
Elena Cabrio ◽  
Serena Villata

Political debates are the means used by political candidates to put forward and justify their positions in front of the electors with respect to the issues at stake. Argument mining is a novel research area in Artificial Intelligence, aiming at analyzing discourse on the pragmatics level and applying a certain argumentation theory to model and automatically analyze textual data. In this paper, we present DISPUTool, a tool designed to ease the work of historians and social science scholars in analyzing the argumentative content of political speeches. More precisely, DISPUTool allows to explore and automatically identify argumentative components over the 39 political debates from the last 50 years of US presidential campaigns (1960-2016). 


Author(s):  
Davide Grossi ◽  
Wiebe van der Hoek ◽  
Louwe B. Kuijer

Well-behaved preferences (e.g., total pre-orders) are a cornerstone of several areas in artificial intelligence, from knowledge representation, where preferences typically encode likelihood comparisons, to both game and decision theories, where preferences typically encode utility comparisons. Yet weaker (e.g., cyclical) structures of comparison have proven important in a number of areas, from argumentation theory to tournaments and social choice theory. In this paper we provide logical foundations for reasoning about this type of preference structures where no obvious best elements may exist. Concretely, we compare and axiomatize a number of ways in which the concepts of maximality and optimality can be generalized in this general class of preferences. We thereby expand the scope of the long-standing tradition of the logical analysis of preference.


2018 ◽  
Vol 55 (1) ◽  
pp. 93-114
Author(s):  
Douglas Walton

Abstract This paper combines methods of argumentation theory and artificial intelligence to extend existing work on the dialectical structure of crossexamination. The existing method used conflict diagrams to search for inconsistent statements in the testimony of a witness. This paper extends the method by using the inconsistency of commitments to draw an inference by the ad hominem argumentation scheme to the conclusion that the testimony is unreliable because of the bad ethical character for veracity of the witness.


2007 ◽  
Vol 22 (1) ◽  
pp. 87-109 ◽  
Author(s):  
CHRIS REED ◽  
DOUGLAS WALTON ◽  
FABRIZIO MACAGNO

AbstractIn this paper, we present a survey of the development of the technique of argument diagramming covering not only the fields in which it originated — informal logic, argumentation theory, evidence law and legal reasoning — but also more recent work in applying and developing it in computer science and artificial intelligence (AI). Beginning with a simple example of an everyday argument, we present an analysis of it visualized as an argument diagram constructed using a software tool. In the context of a brief history of the development of diagramming, it is then shown how argument diagrams have been used to analyse and work with argumentation in law, philosophy and AI.


2002 ◽  
Vol 22 (3) ◽  
Author(s):  
Michael A. Gilbert

Informal Logic, Argumentation Theory and Artificial Intelligence


Author(s):  
David L. Poole ◽  
Alan K. Mackworth

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