WHAT IS GAME THEORY ARENA?
An elegant, intuitive app that transforms complex game theory concepts into engaging interactive challenges. Face off against sophisticated computational rivals that adapt to your every move. Game Theory Arena pits you against opponents that calculate Nash equilibria in real-time, identify optimal counter-strategies, and evolve their tactics based on your decision-making patterns.

Your rivals deploy advanced algorithms (backward induction, subgame perfect equilibrium analysis, and pattern recognition) to anticipate your moves and exploit your weaknesses. They learn your risk tolerance, cooperation tendencies, and strategic habits, creating formidable adversaries tailored specifically to challenge you.

Battle through iconic strategic scenarios from the Prisoner's Dilemma to complex signaling games and mechanism design challenges. Each confrontation tests your ability to outsmart opponents that leverage the mathematical principles governing economics, politics, and evolutionary survival. This isn't theory: it's strategic combat where every decision matters and your opponents remember everything.

DIFFICULTY LEVELS AND OPPONENT STRATEGIES:
Game Theory Arena offers 4 progressive difficulty levels, each corresponding to a different computational opponent strategy:

• Level 1 - Random Strategy: The computational opponent makes primarily random choices with a slight bias based on potential payoffs. Perfect for beginners wanting to explore basic mechanisms.

• Level 2 - Tit-for-Tat Strategy: The opponent mimics your last move with a possibility of "forgiveness" after betrayal. It generally starts by cooperating and then adapts to your behavior, ideal for understanding reciprocity dynamics.

• Level 3 - Nash Strategy: This computational opponent seeks the Nash equilibrium and uses optimal strategies according to the game type. At medium difficulty, it balances between optimal equilibrium and risk-taking, while at high difficulty, it becomes more rational and less forgiving.

• Level 4 - Adaptive Strategy: The most sophisticated level where the computational opponent meticulously analyzes your decision patterns, identifies your behavioral tendencies, and adjusts its strategy accordingly. It uses learning techniques to predict your actions and maximize its gains, offering a real challenge to experienced strategists.

Each difficulty