Extending Bayesian trust models regarding context-dependence and user friendly representation

Successful collaboration between independent entities depends on the selection of trustworthy interaction partners. Bayesian trust models provide a well-founded way for deriving trust from evidence. Yet, current approaches lack an integration of context-dependent parameters and a graphical representation for users. We propose a modification of the Bayesian approach that integrates context-dependent parameters in the prior knowledge and that allows to overcome the negative effects that are usually introduced with aging. Furthermore, we propose a mapping of this approach to a more intuitive representation of trust.

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