Game Theory & Social Choice
Strategic play, voting, and the paradoxes of collective choice.
Game Theory & Social Choice
- Minimax Theorem — Every finite zero-sum game has a value — and a mixed strategy achieves it.
- Braess' Paradox — Add a road, slow everyone down — selfish routing degrades with more options.
- Arrow's Impossibility — No ranked voting rule is fair, decisive, and non-dictatorial — pick at most two.
Further Topics
- Nash Equilibrium (pure strategies) — Profiles where no player gains by switching alone.
- Dominant & Dominated Strategies — Strict dominance and iterated elimination of dominated strategies.
- The Prisoner's Dilemma — A dominant strategy for each can leave both worse off.
- Mixed-Strategy Nash Equilibrium — Randomize over best responses; indifference fixes the probabilities.
- Pareto Efficiency — When can everyone be made better off — and why equilibria can waste.
- Extensive-Form Games & Backward Induction — Game trees, solved by rolling back optimal moves from the leaves.
- Subgame-Perfect Equilibrium — Backward induction rules out non-credible threats in sequential games.
- Repeated Games & the Folk Theorem — How patience and the threat of punishment sustain cooperation.
- Nash Bargaining Solution — Maximize the product of gains over disagreement to split a surplus.
- The Shapley Value — Fair allocation as average marginal contribution over join orders.
- The Core — Allocations no coalition can profitably abandon.
- Stable Matching / Gale–Shapley — Blocking pairs, stability, and the deferred-acceptance algorithm.
- Condorcet Paradox — Pairwise majority rule can cycle, so no Condorcet winner exists.
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