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. - In: JOURNAL OF LOGIC AND COMPUTATION. - ISSN 0955-792X. - STAMPA. - 32:2(2022), pp. 369-401. [10.1093/logcom/exab089]

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.
2022
Arg2P: An argumentation framework for explainable intelligent systems / Roberta Calegari, Giuseppe Pisano, Andrea Omicini, Giovanni Sartor. - In: JOURNAL OF LOGIC AND COMPUTATION. - ISSN 0955-792X. - STAMPA. - 32:2(2022), pp. 369-401. [10.1093/logcom/exab089]
Roberta Calegari, Giuseppe Pisano, Andrea Omicini, Giovanni Sartor
File in questo prodotto:
File Dimensione Formato  
cops-jlc32.pdf

Open Access dal 26/01/2023

Tipo: Postprint
Licenza: Licenza per accesso libero gratuito
Dimensione 1.42 MB
Formato Adobe PDF
1.42 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/877812
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 11
  • ???jsp.display-item.citation.isi??? 5
social impact