Quantum Frog: Emergent Cooperation and Difficulty Scaling in a Quantized-Time Cooperative Game
The paper introduces 'Quantum Frog', a two-player cooperative game that utilizes a quantized-time mechanic. It explores how game difficulty scales with traffic density and the dynamics of cooperative versus independent play. Key findings indicate that shared incentives can effectively align agents in time-critical tasks, leading to improved success rates in cooperative scenarios.
- ▪Quantum Frog is inspired by the classic arcade game Frogger and features an 8x8 grid of traffic.
- ▪The study found that adding a second player complicates the game more than increasing traffic density significantly.
- ▪Cooperative training improved joint success rates by 32-34 percentage points compared to independent agents.
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Computer Science > Artificial Intelligence arXiv:2605.23930 (cs) [Submitted on 22 Apr 2026] Title:Quantum Frog: Emergent Cooperation and Difficulty Scaling in a Quantized-Time Cooperative Game Authors:Saad Mankarious View a PDF of the paper titled Quantum Frog: Emergent Cooperation and Difficulty Scaling in a Quantized-Time Cooperative Game, by Saad Mankarious View PDF HTML (experimental) Abstract:We introduce \emph{Quantum Frog}, a two-player cooperative game built on a novel \emph{quantized-time} mechanic in which the environment advances only when a player acts. Inspired by the classic arcade game Frogger, Quantum Frog requires two frogs to cross an 8$\times$8 grid of traffic and reach the far side together.
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