An approach to computational social trust

• Tipo: Artigo em Revista Científica Internacional
• Data: 2014

Autores

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

Revista

Título: AI Communications

Vol. 27 Nº 2/2014

Páginas: 113-131

ISSN: 0921-7126

Editora: IOS PRESS

Indexação

ISI Web of Knowledge - 4 Citações

Scopus - 3 Citações

Classificação Científica

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

Outras Informações

ID Authenticus: P-009-ASH

DOI: 10.3233/aic-130587

Abstract (EN): Previous work on computational trust has delivered robust aggregation engines that proved competent in estimating the trustworthiness of agents. However, most of these approaches were evaluated through simulation using simple and static agents' populations that did not consider the social account of trust. In this paper, we show by experimental analysis that these approaches tend to perform poorly when the populations of agents form social structures that evolve with the situation and the relationship existing between partners. Moreover, we present an approach to social-aware computational trust based on Social Tuner, a new component that we developed that infers the benevolence of the trustee toward the truster from the available evidence. We show by experimental analysis that this approach outperforms the social-less aggregation engines in a relevant way. The experiments are run using a model of agents' behavior grounded on the literature of social trust and benevolence that we have developed and describe in detail in this paper.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 19