This article summarises five relevant methods for developing self-organising multi-agent systems. It identifies their most promising aspects and provides a meta-model of each under the form of 'SPEM fragments'. These fragments can be combined and be part of a larger ad hoc methodology. Self-organising traffic lights were chosen as an illustrating example for the relevant features of the different methods considered.

Methodologies for self-organising systems: a SPEM approach / Puviani, Mariachiara; G., Di Marzo Serugendo; R., Frei; Cabri, Giacomo. - STAMPA. - (2009), pp. 66-69. ((Intervento presentato al convegno IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technologies, 2009 tenutosi a Milan, Italy nel September 2009.

Methodologies for self-organising systems: a SPEM approach

PUVIANI, MARIACHIARA;CABRI, Giacomo
2009

Abstract

This article summarises five relevant methods for developing self-organising multi-agent systems. It identifies their most promising aspects and provides a meta-model of each under the form of 'SPEM fragments'. These fragments can be combined and be part of a larger ad hoc methodology. Self-organising traffic lights were chosen as an illustrating example for the relevant features of the different methods considered.
IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technologies, 2009
Milan, Italy
September 2009
66
69
Puviani, Mariachiara; G., Di Marzo Serugendo; R., Frei; Cabri, Giacomo
Methodologies for self-organising systems: a SPEM approach / Puviani, Mariachiara; G., Di Marzo Serugendo; R., Frei; Cabri, Giacomo. - STAMPA. - (2009), pp. 66-69. ((Intervento presentato al convegno IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technologies, 2009 tenutosi a Milan, Italy nel September 2009.
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

Caricamento 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: http://hdl.handle.net/11380/639565
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 12
  • ???jsp.display-item.citation.isi??? 3
social impact