ABSTRACT
This chapter focuses on briefing the readers on the basics of classical and evolutionary game theory and on some technical terms. It aims at reviewing the literature on the application of game-theoretic approaches in multiple facets of big data. Game theory has a wide field of applications ranging from economics to computer science and biology. Game theory is a branch of applied mathematics that provides tools for analyzing situations in which parties, called players, make decisions that are interdependent. Evolutionary game theory also assumes that the survival of a node is proportional to the payoff of the strategy that the nodes select. It is to be noticed that as the nodes have mutual dependency on each other, the strategy distribution of nodes determines their superiority. A potential game is one where the incentives of all the players to change their strategies can be expressed using one global function called potential function.
