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.

Arg2P: An argumentation framework for explainable intelligent systems

Roberta Calegari;Giuseppe Pisano;Andrea Omicini;Giovanni Sartor
2022

Abstract

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.
Roberta Calegari, Giuseppe Pisano, Andrea Omicini, Giovanni Sartor
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11585/877812
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