Abstract
To capture decision-makers' (DMs') various kinds of misperceptions in a conflict setting, a methodology is developed to improve hypergame analysis within the framework of the graph model for conflict resolution. This technique models and analyses DMs' different levels of perception in a real-life situation. It also handles a DM's misperception about itself as well as misperception about its opponents. A hypergame in graph form is a framework that consists of subjective hypergames, each of which illustrates a given DM's viewpoint of the hypergame situation. The universal sets of options and states for the hypergame, which include all possible perceptual options and states for the conflict, are used to construct each DM's subjective hypergame. To gain worthy strategic insights from the hypergame analysis, the overall hypergame equilibria are classified based on the types of misperceptions and the awareness of DMs into eight classes of resolutions.