Trust Estimation Using Contextual Fitness

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2010

Autores

urbano, j (Autor) Outra; rocha, ap (Autor) FEUP; oliveira, e (Autor) FEUP

Ata de Conferência Internacional

Título: AGENT AND MULTI-AGENT SYSTEMS: TECHNOLOGIES AND APPLICATIONS, PT I, PROCEEDINGS

Páginas: 42-51

4th KES International Symposium on Agent and Multi-Agent Systems

Gdynia, POLAND, JUN 23-25, 2010

Indexação

ISI Web of Knowledge - 8 Citações

Scopus - 9 Citações

Classificação Científica

FOS: Ciências exactas e naturais > Ciências da computação e da informação

Outras Informações

ID Authenticus: P-003-A0R

DOI: 10.1007/978-3-642-13480-7_6

Abstract (EN): Trust estimation is an essential process in several multi-agent systems domains. Although it is generally accepted that trust is situational, the majority of the Computational Trust and Reputation (CTR) systems existing today are not situation-aware. In this paper, we address the inclusion of the context in the trust management process. We first refer the benefits of considering context and make an overview of recently proposed situational-aware trust models. Then, we propose Contextual Fitness, a CTR component that brings context into the loop of trust management. We empirically show that this component optimizes the estimation of trustworthiness values in context-specific scenarios. Finally, we compare Contextual Fitness with another situation-aware trust approach proposed in the literature.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 10