A Computational Model of Trust Based on Message Content and Source

We propose a general possibilistic framework to determine the agent's trust degree in a source, starting from the content of the messages such source provides and based on the beliefs of the agent about the capability of the source to provide "useful information". The result is a framework with unique characteristics, which combines experience-, reputation-, content-, and category-based models of trust in one coherent computational model.