Katzav, J and Reed, CA (2004) On Argumentation Schemes and the Natural Classification of Arguments. Argumentation, 18 (2). pp. 239-259. ISSN 0920-427X
Abstract
We develop conceptions of arguments and of argument types that will, by serving as the basis for developing a natural classification of arguments, benefit work in artificial intelligence. Focusing only on arguments construed as the semantic entities that are the outcome of processes of reasoning, we outline and clarify our view that an argument is a proposition that represents a fact as both conveying some other fact and as doing so wholly. Further, we outline our view that, with respect to arguments that are propositions, (roughly) two arguments are of the same type if and only if they represent the same relation of conveyance and do so in the same way. We then argue for our conceptions of arguments and argument types, and compare them to alternative positions. We also illustrate the need for, and some of the strengths of, our approach to classifying arguments through an examination of aspects of two prominent and recent attempts to classify arguments using argumentation schemes, namely those of M. Kienpointner and D. Walton. Finally, we clarify how our conception of arguments and of argument types can assist in developing an exhaustive classification of arguments.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2004 Springer. This is an author produced version of a paper published in Argumentation. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | argumentation schemes; argument classification; argument individuation |
Dates: |
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Institution: | The University of Leeds |
Depositing User: | Leeds Philosophy Department |
Date Deposited: | 11 Oct 2007 16:07 |
Last Modified: | 08 Jun 2023 10:14 |
Status: | Published |
Publisher: | Kluwer Academic |
Refereed: | Yes |
Identification Number: | 10.1023/B:ARGU.0000024044.34360.82 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:3238 |