by Longo Luca, Dondio Pierpaolo, Bresciani Riccardo, Barrett Stephen, Butterfield Andrew, "Enabling Adaptation in Trust Computations," computationworld, pp.701-706, 2009 Computation World: Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns, 2009 - The First International Workshop on Computational Trust for Self-Adaptive Systems - SELFTRUST 2009 - November 15-20, 2009 - Athens/Glyfada, Greece

Digital systems have been rapidly evolving within highly dynamic and unstructured environments, where the lack of a central authority forces entities to interact with each other through collaboration and negotiation.
Digital agents often use Trust models in order to compute the level of trustworthiness of the partner they want to collaborate with.
Unfortunately, due to the evolution speed of open and collaborative environments, the trustworthiness of an agent varies over time, and as a result, Trust models must be continuously adapted to the changing context.
In this work we address the problem by presenting a self-adaptive model for Trust computations. In particular, the proposed methodology seeks to continuously align the trust model in force with the changing context
in Web 2.0 dynamic applications such as forums, blogs, p2p systems. The self-adaptation is reflected in the auto-organisation of the Trust function to obtain an accurate degree of agents' trustworthiness.