Towards a categorical approach for meta-modelling epistemic game theory

Abstract

In order to optimize the use of resources of interdependent systems we need to perform strategic analysis of resources. Game theory is the discipline of science that studies strategy. Epistemic game theory explores how individuals reason about others choices for decision making. This theory can play a vital role for optimizing the use of distributed resources since our systems are continuously providing support for decision making where the outcome of a decision is dependent on other systems. We use a model driven approach to build a bridge between software models and epistemic game theory. In this initial work, we have shown how software models such as entity models may be used for building epistemic models. We propose an algorithm for constructing epistemic models where conflict situations are represented with the use of diagrammatic constraints. We use examples from the healthcare domain to explain the proposed technique.