We present Probabilistic Doxastic Temporal (PDT) Logic, a formalism to represent and reason about probabilistic beliefs and their finite temporal evolution in multi-agent systems. This formalism enables the quantification of agents' beliefs through probability intervals and incorporates an explicit notion of time. In this work, we give an overview of recent contributions on PDT Logic. After describing the syntax and semantics of this formalism, we show that two alternative representation forms are available to model problems in PDT Logic. Furthermore, we outline how abductive reasoning can be performed in PDT Logic and how this formalism can be extended to infinite time frames.