We employ a reinforcement learning (RL) approach for the implementation of the immorality. We consider only a subgame perfect equilibrium where the solution of the manipulation game is a Strong Stackelberg Equilibrium (SSE). The role of the players in the Stackelberg security game are determined by the weights of the players for the Nash bargaining approach. We propose an analytical formula for solving the manipulation game, which arises as the maximum of the quotient of two Nash products. The cooperation is represented by the Nash bargaining solution. The resulting game is non-cooperative bargaining game. We consider a security game model involving manipulating defenders and manipulated attackers engaged cooperatively in a Nash game and at the same time restricted by a Stackelberg game. The immorality plays a fundamental role in these games, defenders are able to not be attached to a conventional moral in order to achieve their goals. Players employ Machiavelli’s tactics and Machiavellian intelligence in order to manipulate attacker/defender situations. The world is conceptualized by manipulators and manipulated (view). Manipulation is a strategy interpreted by the Machiavellianism social behavior theory, which consists on three main concepts: view, tactics, and immorality. Every night you’ll multiply your evil level until everyone calls your mansion ” scary, nasty and horrible.This paper suggests a new approach for repeated Stackelberg security games (SSGs) based on manipulation.
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