Using conversation policies to solve problems of ambiguity in argumentation and artificial intelligence
This investigation joins recent research on problems with ambiguity in two fields, argumentation and computing. In argumentation, there is a concern with fallacies arising from ambiguity, including equivocation and amphiboly. In computing, the development of agent communication languages is based on conversation policies that make it possible to have information exchanges on the internet, as well as other forms of dialogue like persuasion and negotiation, in which ambiguity is a problem. Because it is not possible to sharply differentiate between problems arising from ambiguity and those arising from vagueness, obscurity and indeterminacy, some study of the latter is included. The semantic web is based on what are called ontologies, or systems of classification of concepts, shown to be useful tools for dealing with these problems.
Cited by (3)
Cited by three other publications
Macagno, Fabrizio & Sarah Bigi
2018.
Types of Dialogue and Pragmatic Ambiguity. In
Argumentation and Language — Linguistic, Cognitive and Discursive Explorations [
Argumentation Library, 32],
► pp. 191 ff.

Macagno, Fabrizio & Douglas Walton
2017.
Establishing Commitments Between Ambiguity and Misquotation. In
Interpreting Straw Man Argumentation [
Perspectives in Pragmatics, Philosophy & Psychology, 14],
► pp. 65 ff.

ALXATIB, SAM & FRANCIS JEFFRY PELLETIER
2011.
The Psychology of Vagueness: Borderline Cases and Contradictions.
Mind & Language 26:3
► pp. 287 ff.

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