Game theory to improve strategic decision making for Ludo quest

https://doi.org/10.53730/ijhs.v6nS5.9737

Authors

  • T. Sarankirthik Department of Computer Science and Engineering, K. S. Rangasamy College of Technology, Tiruchengode – 637 215, TamilNadu, India
  • A. Shankar Narayanan Department of Computer Science and Engineering, K. S. Rangasamy College of Technology, Tiruchengode – 637 215, TamilNadu, India
  • R. Gopinath Department of Computer Science and Engineering, K. S. Rangasamy College of Technology, Tiruchengode – 637 215, TamilNadu, India

Keywords:

strategic, Ludo game, Cognitive Skills

Abstract

The research analysis is aimed to enhance the specific domain knowledge for Ludo which can be used for performance improvement in Dijkstra Algorithm networks or in evolutionary game analysis for ludo games. The Ludo game involves decision-making under fuzziness and uncertainty with more than two parties. It can serve as an excellent example of applying methods and concepts for automating resource management and real-time strategic decisions. Increase Logical Thinking Capability, development of Interpersonal Skills, dealing with Victory and Defeat & Other Cognitive Skills. And also, experimentation is focused on integrating the ludo with quizzes because quizzes will make this game more interesting, and it will also help us to increase our IQ levels. Ludo game concept is achieved by writing a computer program that allows players to roll a dice randomly, take decisions and move the pawn based on the outcome of the dice on a well-designed graphical interface.

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References

Faisal Alvi, Moataz Ahmed, “Complexity Analysis and Playing Strategies for Ludo and its Variant Race Games”, Member (IEEE) 2011.

Majed Alhajry, Faisal Alvi, and Moataz Ahmed, “TD (λ) and Q-Learning Based Ludo Players”, Member (IEEE) 2012.

Veenus Chhabra and Kuldeep Tomar, “Artificial Intelligence: Game Techniques Ludo- A Case Study”, (ACSIT) 2015.

Arpit Bhatia, Aneesha Lakra, “An Analysis of Ludo Board Game Play on Smartphones”, IIIT New Delhi- May 2021.

Keerthana and S. Manoj, “Implementation of LUDO Game in 2D using Python”, (IJARST) 2020.

Napsawati, Yusdarina, “Application of Ludo Board Game in Increasing the Activeness”, (ISSN) 2021.

Arend Rensink, Alexander Dotor, Claudia Ermel, Stefan Jurack, Ole Kniemeyer, “Ludo: A Case Study for Graph Transformation Tools”, 2011.

Majed Alhajry, Faisal Alvi, and Moataz Ahmed, “TD(λ) and Q-Learning Based Ludo Players”, Member (IEEE) 2012.

Chang, M. O., Peralta, A. O., & Corcho, O. J. P. de. (2020). Training with cognitive behavioral techniques for the control of precompetitive anxiety. International Journal of Health & Medical Sciences, 3(1), 29-34. https://doi.org/10.31295/ijhms.v3n1.121

Dr. P. Nagabhushan, Pouyan Davoudian, “Machine as One Player in Indian Cowry Board Game: Strategies and Analysis of Randomness Model for Playing”, (ISSN) 2017.

Khaji Faizan Ali, Varichitty Kalyan, Kakelli Anil Kumar, “Design and Implementation of Ludo Game Using Automata Theory”, (i-PACT) 2019.

Published

26-06-2022

How to Cite

Sarankirthik, T., Narayanan, A. S., & Gopinath, R. (2022). Game theory to improve strategic decision making for Ludo quest. International Journal of Health Sciences, 6(S5), 5070–5079. https://doi.org/10.53730/ijhs.v6nS5.9737

Issue

Section

Peer Review Articles