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Arg2P: an argumentation framework for explainable intelligent systems

2021; Oxford University Press; Volume: 32; Issue: 2 Linguagem: Inglês

10.1093/logcom/exab089

1465-363X

Roberta Calegari, Andrea Omicini, Giuseppe Pisano, Giovanni Sartor,

Semantic Web and Ontologies

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.