Toward Artificial Argumentation

The field of computational models of argument is emerging as an important aspect of artificial intelligence research. The reason for this is based on the recognition that if we are to develop robust intelligent systems, then it is imperative that they can handle incomplete and inconsistent informati...

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Bibliographic Details
Published in:The AI magazine Vol. 38; no. 3; pp. 25 - 36
Main Authors: Atkinson, Katie, Baroni, Pietro, Giacomin, Massimiliano, Hunter, Anthony, Prakken, Henry, Reed, Chris, Simari, Guillermo, Thimm, Matthias, Villata, Serena
Format: Journal Article
Language:English
Published: La Canada American Association for Artificial Intelligence 22.09.2017
John Wiley & Sons, Inc
Subjects:
Argument (Philosophy)
Argumentation
Artificial intelligence
Cognition & reasoning
Complex tasks
Computational intelligence
Computer science
Debates
Electronic government
Intelligent systems
Internet
Knowledge
Logic programming
Mathematical models
Medical technology
Mining law
Natural language processing
Public services
Solvers
ISSN:0738-4602, 2371-9621
Online Access:Get full text
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Summary:The field of computational models of argument is emerging as an important aspect of artificial intelligence research. The reason for this is based on the recognition that if we are to develop robust intelligent systems, then it is imperative that they can handle incomplete and inconsistent information in a way that somehow emulates the way humans tackle such a complex task. And one of the key ways that humans do this is to use argumentation either internally, by evaluating arguments and counterarguments, or externally, by for instance entering into a discussion or debate where arguments are exchanged. As we report in this review, recent developments in the field are leading to technology for artificial argumentation, in the legal, medical, and e‐government domains, and interesting tools for argument mining, for debating technologies, and for argumentation solvers are emerging.
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ISSN:0738-4602
2371-9621
DOI:10.1609/aimag.v38i3.2704