  Dynamics and uncertainty are essential features of real-life argumentation,
and many recent studies have focused on integrating both aspects into Dung's
well-known abstract Argumentation Frameworks (AFs). This paper proposes a
combination of the two lines of research through a well-behaved logical tool:
Dynamic Logic of Propositional Assignments (DL-PA). Our results show that the
main reasoning tasks of virtually all existing formalisms qualitatively
representing uncertainty about AFs are encodable in DL-PA. Moreover, the same
tool is also useful for capturing dynamic structures, such as control
argumentation frameworks, as well as for developing more refined forms of
argumentative communication under uncertainty.
