6 papers
Winning Before You Play: An Iterative Capture Algorithm for Pre-Game Dominance Analysis in Three-Player Auction Bridge
Sourish Sarkar
This paper introduces an innovative and bias-free variant of a three-player auction bridge, specifically designed to address structural limitations found in traditional formats. In…
A Statistical Analysis of Three Player Auction Bridge
Aritrabha Majumdar, Sourish Sarkar, Moutushi Chatterjee
Three-player Auction Bridge is a finite imperfect-information game in which dynamic partnerships create a distinctive interaction between scoring, strategic incentives, and payoff…
Algorithmic Threshold Optimization: Quantitative Modeling of Multiplier Distributions in Crash Games
Sourish Sarkar
Crash is a widely played casino game that blends strategic decision-making, probability, and computational analysis, particularly from the perspective of the house. This paper pres…
3 Players Auction Bridge - Statistical Algorithmic Strategies
Sourish Sarkar, Aritrabha Majumdar, Moutushi Chatterjee
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 dynami…
Quantitative Rule-Based Strategy modeling in Classic Indian Rummy: A Metric Optimization Approach
Purushottam Saha, Avirup Chakraborty, Sourish Sarkar +3
The 13-card variant of Classic Indian Rummy is a sequential game of incomplete information that requires probabilistic reasoning and combinatorial decision-making. This paper propo…
A New Three-Players Auction Bridge with Dynamic Opponents and Team Members
Sourish Sarkar, Aritrabha Majumdar, Moutushi Chatterjee
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…