Modelling PRS-Like Agents' Mental States

In recent years, there have been increased efforts towards defining rigorous operational semantics for a range of agent programming languages. At the same time, there have been increased efforts to develop logical frameworks for modelling belief, desire and intention (and related notions) that make closer connections to the workings of particular architectures, thus aiming to provide some computational interpretation of these abstract models. However, there remains a substantial gap between the more abstract logical approaches and the more computationally oriented operational approaches. In this paper, we present a modelling of the mental states of PRS-like agents developed using a combination of dynamic logic and BDI logic that allows a mapping between the operational semantics and the model-theoretic semantics, considering the statics, though not the dynamics, of mental states. This represents a first step towards bridging the gap between theory and practice for an agent programming language that includes a simple notion of intention.