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.
['Célia da Costa Pereira', 'Andrea G. B. Tettamanzi', 'Serena Villata']
A Computational Model of Trust Based on Message Content and Source