Skill Dominance Analysis of Two(Four) player, Three(Five) dice Variant of the Ludo Game

Fuente: arXiv
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Main Authors: Banerjee, Tathagata, Mukherjee, Diganta
Format: Preprint
Published: 2024
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author Banerjee, Tathagata
Mukherjee, Diganta
author_facet Banerjee, Tathagata
Mukherjee, Diganta
contents This paper examines two different variants of the Ludo game, involving multiple dice and a fixed number of total turns. Within each variant, multiple game lengths (total no. of turns) are considered. To compare the two variants, a set of intuitive, rule-based strategies is designed, representing different broad methods of strategic play. Game play is simulated between bots (automated software applications executing repetitive tasks over a network) following these strategies. The expected results are computed using certain game theoretic and probabilistic explanations, helping to understand the performance of the different strategies. The different strategies are further analyzed using win percentage in a large number of simulations, and Nash Equilibrium strategies are computed for both variants for a varying number of total turns. The Nash Equilibrium strategies across different game lengths are compared. A clear distinction between performances of strategies is observed, with more sophisticated strategies beating the naive one. A gradual shift in optimal strategy profiles is observed with changing game length, and certain sophisticated strategies even confound each other's performance while playing against each other.
format Preprint
id arxiv_https___arxiv_org_abs_2409_00376
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Skill Dominance Analysis of Two(Four) player, Three(Five) dice Variant of the Ludo Game
Banerjee, Tathagata
Mukherjee, Diganta
Computer Science and Game Theory
This paper examines two different variants of the Ludo game, involving multiple dice and a fixed number of total turns. Within each variant, multiple game lengths (total no. of turns) are considered. To compare the two variants, a set of intuitive, rule-based strategies is designed, representing different broad methods of strategic play. Game play is simulated between bots (automated software applications executing repetitive tasks over a network) following these strategies. The expected results are computed using certain game theoretic and probabilistic explanations, helping to understand the performance of the different strategies. The different strategies are further analyzed using win percentage in a large number of simulations, and Nash Equilibrium strategies are computed for both variants for a varying number of total turns. The Nash Equilibrium strategies across different game lengths are compared. A clear distinction between performances of strategies is observed, with more sophisticated strategies beating the naive one. A gradual shift in optimal strategy profiles is observed with changing game length, and certain sophisticated strategies even confound each other's performance while playing against each other.
title Skill Dominance Analysis of Two(Four) player, Three(Five) dice Variant of the Ludo Game
topic Computer Science and Game Theory
url https://arxiv.org/abs/2409.00376