Empowering BDI Agents with Generalised Decision-Making

While research on software agents has long focused on explicit agent communication, there is comparatively less effort on implicit communication between agents via recognising each other's intentions and desires for understanding their decision-making reasoning process. Since most human communication is not explicit, we aim to outline a research agenda to help endow autonomous agents with analogous coordination capabilities. In this paper, we formalise a framework that empowers the decision-making process of BDI agents in adversarial and cooperative environments by casting them as generalised planners using Theory of Mind. Our formalisation uses the fundamental philosophical properties of the BDI model and its reasoning process to outline a broad research agenda in agents' research.