Moutushi Chatterjee | Searcharxiv

arXiv2026

3 Players Auction Bridge - Statistical Algorithmic Strategies

Three-player auction bridge is an updated version of the worldwide-recognized auction bridge card game. Dynamic partners and opponents are the key factors in this game. This dynamic property reduces the bias and increases the authenticity of this game. The article provides insight on statistical learning and insight for a three-player auction bridge game. An exact algorithm for various scenarios is developed along with the corresponding winning strategies to explore different game plannings and the computational intelligence involved. Based on the algorithm, we simulate data and define the probabilistic values to win a certain game.

cs.GT↗

arXiv2025

A New Three-Players Auction Bridge with Dynamic Opponents and Team Members

This article presents a new three-player version of the bridge playing card game for the purpose of ending fixed partnerships so that the play can be more dynamic and flexible. By dynamically redefining team makeup in real time, this game design increases unpredictability and forces players to repeatedly update strategy. A novel scoring system is introduced to reduce biases present in conventional rule-based games by favoring fairness via reward systems that enforce tactical decision making and risk assessment. Being subject to regular bridge rules, this version tests players to collaborate without fixed friendships, requiring fluid adjustment and adaptive bidding behavior in real time. Strategic issues involve aggressive and defensive bidding, adaptable playing styles, and loss-seeking strategies specific to the three-player structure. The article discusses probabilistic issues of bidding, trump and no-trump declarative effects, and algorithmic methods to trick-taking. Simulation outcomes illustrate the efficiency of diverse strategies. The game's architecture is ideal for competitions and possibly influential in broadening entry pools for tournament card games.

cs.GT↗