A Game-Theoretic Approach to Developing the Optimal Dynamic Expert Systems for Software Technologies

Game-theoretic approaches evaluate every strategy of every expert system for software technology against all other strategies that are ineffective for planning by defining notions of equilibrium that encompass the optimal strategy for each and classifying these strategies according to their possibility of reaching goals and the paths of execution. In this article, we present an alternative model for the case of Cournot-Nash equilibrium and prove some existence theorems to help expert systems for software technologies minimize the cost function.