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From the 1 of 7 linked papers with an AI index.

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7 papers

cs.GT2026

Decision-Making Under Complete Uncertainty: You Will Not Regret Being Greedy

Kristijan Atanasov, Frederik Mallmann-Trenn, Mehmet Mars Seven

The paper introduces a game-theoretic model to analyze the worst-case regret of greedy strategies when the decision-maker faces complete (Knightian) uncertainty, proving that greed…

econ.TH2026

Correlated optimin

Mehmet Mars Seven

We extend the optimin notion of Ismail (2025) from mixed strategy profiles to correlated distributions. A correlated distribution is evaluated by the worst expected payoff each pla…

econ.TH2026

Aggregating Elo Ratings: An Axiomatization

Mehmet Mars Seven

Many environments assign several Elo ratings to the same agent: a chess player has classical, rapid, and blitz ratings; an online platform may rate by time control, mode, or format…

econ.TH2026

How damaging is zero-sum thinking to an agent's interests when the world is positive-sum?

Shaun Hargreaves Heap, Mehmet Mars Seven

We study whether zero-sum decision rules, maximin and minimax, harm agents' interests in positive-sum games relative to Nash equilibrium behaviour or, more generally, than best res…

econ.TH2025

Subgame Credible Nash Equilibrium

Mehmet Mars Seven

We propose the Subgame Credible Nash Equilibrium (SCNE), a refinement of subgame perfect Nash equilibrium (SPNE) for multi-stage games. SCNE retains the internal credibility requir…

econ.TH2025

Performance Rating Equilibrium

Mehmet Mars Seven

In this note, we introduce a novel performance rating system called Performance Rating Equilibrium (PRE). A PRE is a vector of ratings for each player, such that if these ratings w…