3 Players Auction Bridge - Statistical Algorithmic Strategies

Sourish Sarkar; Aritrabha Majumdar; Moutushi Chatterjee

3 Players Auction Bridge - Statistical Algorithmic Strategies

Computer Science and Game Theory 2026-08-04 v1

Authors: Sourish Sarkar , Aritrabha Majumdar , Moutushi Chatterjee

Abstract

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.

Cite

@article{arxiv.2608.03217,
  title  = {3 Players Auction Bridge - Statistical Algorithmic Strategies},
  author = {Sourish Sarkar and Aritrabha Majumdar and Moutushi Chatterjee},
  journal= {arXiv preprint arXiv:2608.03217},
  year   = {2026}
}

Comments

7 Pages, 2 Figures