Arg2P: An argumentation framework for explainable intelligent systems


Roberta Calegari, Giuseppe Pisano, Andrea Omicini, Giovanni Sartor

Journal of Logic and Computation 32(2), pages 369–401
March 2022

In this paper we present the computational model of Arg2P, a logic-based argumentation framework for defeasible reasoning and agent conversation particularly suitable for explaining agent intelligent behaviours. The model is reified as the Arg2P 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.

(keywords) Arg2P, intelligent systems engineering, explainable intelligent systems, logic- based technology, argumentation, defeasible reasoning, multi-agent systems

Journals & Series

Tags: Arg2P CompuLaw

Publication

— authors

— editors

Francesco Calimeri, Simona Perri, Zumpano. Ester

— status

published

— sort

article in journal

— publication date

March 2022

— journal

Journal of Logic and Computation

— volume

32

— issue

2

— pages

369–401

URLs

original page

identifiers

— DOI

10.1093/logcom/exab089

— DBLP

journals/logcom/CalegariOPS22

— IRIS

11585/877812

— Scholar

7687317421217944977

— Scopus

2-s2.0-85126283334

— WoS / ISI

000762067600009

— print ISSN

0955-792X

notes

— note

Special Issue from the 35th Italian Conference on Computational Logic (CILC 2020)

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