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Game Theory & Mathematical Logic

Formal Bayesian probability equations and information asymmetry principles governing hidden-role deduction.

1. Information Asymmetry Principle

I_{\text{civilian}} = \{W, C\}, \quad I_{\text{imposter}} = \{C\}

Information asymmetry is defined by sets of known variables. Civilians know both the secret word W and the category C, whereas the Imposter knows only the category C.

2. Bayesian Belief Updating Equation

P(\text{Imposter}_i \mid \text{Clue}_k) = \frac{P(\text{Clue}_k \mid \text{Imposter}_i) \cdot P(\text{Imposter}_i)}{P(\text{Clue}_k)}

Civilians update their posterior probability estimate of player i being the Imposter based on the likelihood of their spoken clue k given the category C versus the secret word W.

3. Nash Equilibrium in Clue Selection

q^* = \frac{1}{|W_C| + 1}

The optimal Imposter strategy balances clue vagueness and specificity to match the expected distribution of civilian clues within the word category domain W_C.

Citing Stanford Encyclopedia of Philosophy & MIT Game Lab ResearchRead Stanford Game Theory Entry