Probabilistic dynamic belief logic for image and reputation

Isaac Pinyol*, Jordi Sabater-Mir, Pilar Dellunde

*Corresponding author for this work

Research output: Chapter in BookChapterResearchpeer-review


Since electronic and open environments became a reality, computational trust and reputation models have attracted increasing interest in the field of multi-agent systems (MAS). Some of them are based on cognitive theories of reputation that require cognitive agents to display all their potential. One of them is Repage, a computational system based on a cognitive theory of reputation that focuses on the study of two important concepts: Image and Reputation. The possible integration of these Repage predicates into a cognitive agent architecture, like the well-known Belief, Desire, Intention (BDI) approach implies the definition of these two concepts as mental states, as a set of beliefs. In this paper, we specify a belief logic that captures the necessary elements to express Image and Reputation and we study their interplay by analyzing a classical definition of trust on information sources.

Original languageEnglish
Title of host publicationArtificial Intelligence Research and Development. Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence
PublisherIOS Press
Number of pages9
ISBN (Print)9781586039257
Publication statusPublished - 2008

Publication series

NameFrontiers in Artificial Intelligence and Applications
ISSN (Print)0922-6389


  • Image
  • Multi-agent systems
  • Probabilistic Dynamic Belief Logic
  • Reputation


Dive into the research topics of 'Probabilistic dynamic belief logic for image and reputation'. Together they form a unique fingerprint.

Cite this