Golden games

09/10/2019
by   Urban Larsson, et al.
0

We consider extensive form win-lose games over a complete binary-tree of depth n where players act in an alternating manner. We study arguably the simplest random structure of payoffs over such games where 0/1 payoffs in the leafs are drawn according to an i.i.d. Bernoulli distribution with probability p. Whenever p differs from the golden ratio, asymptotically as n→∞, the winner of the game is determined. In the case where p equals the golden ratio, we call such a random game a golden game. In golden games the winner is the player that acts first with probability that is equal to the golden ratio. We suggest the notion of fragility as a measure for "fairness" of a game's rules. Fragility counts how many leaves' payoffs should be flipped in order to convert the identity of the winning player. Our main result provides a recursive formula for asymptotic fragility of golden games. Surprisingly, golden games are extremely fragile. For instance, with probability ≈ 0.77 a losing player could flip a single payoff (out of 2^n) and become a winner. With probability ≈ 0.999 a losing player could flip 3 payoffs and become the winner.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset
Success!
Error Icon An error occurred

Sign in with Google

×

Use your Google Account to sign in to DeepAI

×

Consider DeepAI Pro