The Role of Multi-Criteria Decision-Making in a Sentry Agents Framework Utilizing Uncertainty of Information

Information has a dire role when it comes to decision-making, especially in complex multi-domain operational environments. While it can be assumed that obtaining more information is more beneficial, it can lead towards several challenges. For a decision maker, to collect and assess large quantities of information in order to make an informed decision can be a difficult task. The decision-making task becomes more problematic due to the imperfect nature of information expressed through the uncertainty of information (UoI) concept. This paper proposes implementing multi-criteria decision making (MCDM) within a dynamic multi-agent-based framework called Sentry Agents (SAGE), which allows for the simulation of various decision-making scenarios and diverse decision maker behaviors. We evaluate how MCDM can measure interdependence between criteria, and how that impacts the determination of an ideal course of action in a decision-making task.