A Bayesian computational model for trust on information sources

In this work we want to provide a tool for handling information coming from different information sources. In fact the real world we often have to deal with different sources asserting different things and, in order to decide, it is necessary to consider properly each of them trying to put this information together. According to us, a good way to do it is exploiting the concept of trust. In fact using it as a valve, it is possible to give a different weight to what the source is reporting. Plus we decide to implement this trust model as generic as possible. In this way, the model can be used in different context and within different practical applications. After presenting the theoretical and the computational model, we also show a practical example of how to use it, to let the reader better understand the overall workflow.