Back to Search Start Over

A postulate-driven study of logical argumentation.

Authors :
Arieli, Ofer
Borg, AnneMarie
Straßer, Christian
Source :
Artificial Intelligence. Sep2023, Vol. 322, pN.PAG-N.PAG. 1p.
Publication Year :
2023

Abstract

Logical argumentation is a well-known approach to modeling non-monotonic reasoning with conflicting information. In this paper we provide a comprehensive postulate-based study of properties of logical argumentation frameworks and a full characterization of their semantics and inference relations. In this way we identify well-behaved formal argumentative models of drawing logically justified inferences from a given set of possibly conflicting defeasible, as well as strict assumptions. Given some desiderata in terms of rationality postulates, we consider the conditions that an argumentation framework should fulfill for the desiderata to hold. One purpose of this approach is to assist designers to "plug-in" pre-defined formalisms according to actual needs. To this end, we present a classification of argumentation frameworks relative to the types of attacks they implement. In turn, for each class we determine which desiderata are satisfied. Our study is highly abstract, supposing only a minimal set of requirements on the considered underlying deductive systems, and in this way covering a broad range of formalisms, including classical, intuitionistic and modal logics. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00043702
Volume :
322
Database :
Academic Search Index
Journal :
Artificial Intelligence
Publication Type :
Academic Journal
Accession number :
165042833
Full Text :
https://doi.org/10.1016/j.artint.2023.103966