Serena Villata Rino Falcone Célia da Costa Pereira Cristiano Castelfranchi Andrea Tettamanzi Fabio Paglieri

Communication and Trustworthiness: An Agent Model About Information's Quality and Sources' Evaluation

Are you already subscribed?
Login to check whether this content is already included on your personal or institutional subscription.

Abstract

Artificial intelligent agents should evaluate the information they receive based on multiple criteria: in particular, the content of the message and the trustworthiness associated to the source. The final evaluation about the quality of the information should be used both to re-organize the contents' value, and to modify the evaluation of the source of information, and this feedback has to be distribute in a sensible way among the different features of the source itself, like his competence and his sincerity. In this paper, we propose a formal system in which trust is not treated as a monolithic concept. On the contrary, the decision to trust a given piece of information depends on the interaction between two independent assessments: the sincerity of the source, and his expertise with respect to a given domain. In particular, we focus on the dynamics of feedback that, based on the assessed quality of the information, change the evaluation of the source.

Keywords

  • Trust dynamics
  • multiagent systems
  • argumentation theory
  • cognitive agents
  • reasoning

Preview

Article first page

What do you think about the recent suggestion?

Trova nel catalogo di Worldcat