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Arg2P: an argumentation framework for explainable intelligent systems.

Authors :
Calegari, Roberta
Omicini, Andrea
Pisano, Giuseppe
Sartor, Giovanni
Source :
Journal of Logic & Computation; Mar2022, Vol. 32 Issue 2, p369-401, 33p
Publication Year :
2022

Abstract

In this paper we present the computational model of Arg 2 P, a logic-based argumentation framework for defeasible reasoning and agent conversation particularly suitable for explaining agent intelligent behaviours. The model is reified as the Arg 2 P technology, which is presented and discussed both from an architectural and a technological perspective so as to point out its potential in the engineering of intelligent systems. Finally, an illustrative application scenario is discussed in the domain of computable law for autonomous vehicles. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0955792X
Volume :
32
Issue :
2
Database :
Complementary Index
Journal :
Journal of Logic & Computation
Publication Type :
Academic Journal
Accession number :
155696048
Full Text :
https://doi.org/10.1093/logcom/exab089