In this paper we present a new agent methodology called MAR&A. Its aim is to better connect agent methodologiesand agent infrastructures, since in the agent development we can find a “gap” between them. Ourapproach was not to build a new agent methodology from scratch, but to reuse “fragments” of existing methodologies.Besides presenting the methodology, we propose its use in a case study, to help readers understandthe exploitation of this methodology and to sketch the connections with agent infrastructures.

The MAR&A Methodology to Develop Agent Systems / Cabri, Giacomo; Puviani, Mariachiara; Leonardi, Letizia. - STAMPA. - (2009), pp. 501-506. (Intervento presentato al convegno The International Conference on Agents and Artificial Intelligence (ICAART 2009) tenutosi a Porto, Portugal nel January 2009).

The MAR&A Methodology to Develop Agent Systems

CABRI, Giacomo;PUVIANI, MARIACHIARA;LEONARDI, Letizia
2009

Abstract

In this paper we present a new agent methodology called MAR&A. Its aim is to better connect agent methodologiesand agent infrastructures, since in the agent development we can find a “gap” between them. Ourapproach was not to build a new agent methodology from scratch, but to reuse “fragments” of existing methodologies.Besides presenting the methodology, we propose its use in a case study, to help readers understandthe exploitation of this methodology and to sketch the connections with agent infrastructures.
2009
The International Conference on Agents and Artificial Intelligence (ICAART 2009)
Porto, Portugal
January 2009
501
506
Cabri, Giacomo; Puviani, Mariachiara; Leonardi, Letizia
The MAR&A Methodology to Develop Agent Systems / Cabri, Giacomo; Puviani, Mariachiara; Leonardi, Letizia. - STAMPA. - (2009), pp. 501-506. (Intervento presentato al convegno The International Conference on Agents and Artificial Intelligence (ICAART 2009) tenutosi a Porto, Portugal nel January 2009).
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/606112
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 5
  • ???jsp.display-item.citation.isi??? ND
social impact