| Abstract: |
We present an autoepistemic approach for reasoning about actions in the
presence of incomplete information and sensing. Specifically, we introduce
a logical formalism that combines a very expressive logic of programs,
the modal mu-calculus, with a minimal knowledge modality. We show that
reasoning in such a formalism can be done by integrating model checking
for modal mu-calculus and propositional inference. This allows for
exploiting existing model checking techniques and systems for sophisticated
forms of reasoning about actions, without renouncing to deal with
incomplete information about the dynamic system.
|