pp 1–41

Bisimulation and expressivity for conditional belief, degrees of belief, and safe belief

  • Mikkel Birkegaard Andersen
  • Thomas Bolander
  • Hans van Ditmarsch
  • Martin Holm Jensen

DOI: 10.1007/s11229-016-1060-x

Cite this article as:
Andersen, M.B., Bolander, T., van Ditmarsch, H. et al. Synthese (2016). doi:10.1007/s11229-016-1060-x


Plausibility models are Kripke models that agents use to reason about knowledge and belief, both of themselves and of each other. Such models are used to interpret the notions of conditional belief, degrees of belief, and safe belief. The logic of conditional belief contains that modality and also the knowledge modality, and similarly for the logic of degrees of belief and the logic of safe belief. With respect to these logics, plausibility models may contain too much information. A proper notion of bisimulation is required that characterises them. We define that notion of bisimulation and prove the required characterisations: on the class of image-finite and preimage-finite models (with respect to the plausibility relation), two pointed Kripke models are modally equivalent in either of the three logics, if and only if they are bisimilar. As a result, the information content of such a model can be similarly expressed in the logic of conditional belief, or the logic of degrees of belief, or that of safe belief. This, we found a surprising result. Still, that does not mean that the logics are equally expressive: the logics of conditional and degrees of belief are incomparable, the logics of degrees of belief and safe belief are incomparable, while the logic of safe belief is more expressive than the logic of conditional belief. In view of the result on bisimulation characterisation, this is an equally surprising result. We hope our insights may contribute to the growing community of formal epistemology and on the relation between qualitative and quantitative modelling.

Funding information

Funder NameGrant NumberFunding Note
European Research Council
  • 313360

Copyright information

© Springer Science+Business Media Dordrecht 2016

Authors and Affiliations

  1. 1.DTU ComputeTechnical University of DenmarkLyngbyDenmark
  2. 2.LORIA, CNRS / Université de LorraineNancyFrance

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