The study of trust management in multi-agent system, especially distributed, has grown over the last years. Trust is a complex subject that has no general consensus in literature, but has emerged the importance of reasoning about it computationally. Reputation systems takes into consideration the history of an entity’s actions/behavior in order to compute trust, collecting and aggregating ratings from members in a community. In this scenario the aggregation problem becomes fundamental, in particular depending on the environment. In this paper we describe a technique based on a class of asymptotically idempotent aggregation operators, suitable particulary for distributed anonymous environments.

Asymptotically idempotent aggregation operators for trust management in multi-agent systems / Ghiselli Ricci, Roberto; Viviani, Marco. - (2008), pp. 129-137. (Intervento presentato al convegno 12th International Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems (IPMU)).

Asymptotically idempotent aggregation operators for trust management in multi-agent systems

Ghiselli Ricci, Roberto;
2008-01-01

Abstract

The study of trust management in multi-agent system, especially distributed, has grown over the last years. Trust is a complex subject that has no general consensus in literature, but has emerged the importance of reasoning about it computationally. Reputation systems takes into consideration the history of an entity’s actions/behavior in order to compute trust, collecting and aggregating ratings from members in a community. In this scenario the aggregation problem becomes fundamental, in particular depending on the environment. In this paper we describe a technique based on a class of asymptotically idempotent aggregation operators, suitable particulary for distributed anonymous environments.
2008
9788461230617
Asymptotically idempotent aggregation operators for trust management in multi-agent systems / Ghiselli Ricci, Roberto; Viviani, Marco. - (2008), pp. 129-137. (Intervento presentato al convegno 12th International Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems (IPMU)).
File in questo prodotto:
File Dimensione Formato  
Ghiselli_Ricci_R_ContrCongresso_2008_Asymptotically.pdf

accesso aperto

Tipologia: Versione editoriale (versione finale pubblicata)
Licenza: Non specificato
Dimensione 543.11 kB
Formato Adobe PDF
543.11 kB 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/11388/264061
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact