Open Access   Article Go Back

Indian Sub-Continent Risk Game

Ashank Dsouza1 , Om Prakash2 , Nitesh Raghavan3 , Surekha Thota4

Section:Research Paper, Product Type: Journal Paper
Volume-07 , Issue-14 , Page no. 499-501, May-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7si14.499501

Online published on May 15, 2019

Copyright © Ashank Dsouza, Om Prakash, Nitesh Raghavan, Surekha Thota . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

View this paper at   Google Scholar | DPI Digital Library

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: Ashank Dsouza, Om Prakash, Nitesh Raghavan, Surekha Thota, “Indian Sub-Continent Risk Game,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.14, pp.499-501, 2019.

MLA Style Citation: Ashank Dsouza, Om Prakash, Nitesh Raghavan, Surekha Thota "Indian Sub-Continent Risk Game." International Journal of Computer Sciences and Engineering 07.14 (2019): 499-501.

APA Style Citation: Ashank Dsouza, Om Prakash, Nitesh Raghavan, Surekha Thota, (2019). Indian Sub-Continent Risk Game. International Journal of Computer Sciences and Engineering, 07(14), 499-501.

BibTex Style Citation:
@article{Dsouza_2019,
author = {Ashank Dsouza, Om Prakash, Nitesh Raghavan, Surekha Thota},
title = {Indian Sub-Continent Risk Game},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {07},
Issue = {14},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {499-501},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1184},
doi = {https://doi.org/10.26438/ijcse/v7i14.499501}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i14.499501}
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1184
TI - Indian Sub-Continent Risk Game
T2 - International Journal of Computer Sciences and Engineering
AU - Ashank Dsouza, Om Prakash, Nitesh Raghavan, Surekha Thota
PY - 2019
DA - 2019/05/15
PB - IJCSE, Indore, INDIA
SP - 499-501
IS - 14
VL - 07
SN - 2347-2693
ER -

           

Abstract

“Indian Sub-continent risk game” is a turn based strategy game having AI players. To give an authentic feel, this game uses a map of ancient India and ancient names for the territories. The dice rolled decides whether a battle is either won or lost. This game can be played against 2 AI players or against human players. The game is developed using Python’s pygame library which has features for basic game development. The user interfaces includes animations like dice being rolled and striking out each other, sound effects for victory and defeat. In turn based games such as Risk it is important to keep the users attention while the AI is playing its turn, to prevent the user from becoming impatient and as such the game incorporates animations and sound effects that are necessary to prevent the game from becoming mundane. The game can be played by users who are as young as 8 to as old as possible. The game has been designed to last for an average of about half an hour.

Key-Words / Index Term

turn-based-game, strategy-games, probability, dice-rolls, world-domination, Risk, Artificial Intelligence

References

[1] https://www.thesprucecrafts.com/history-of-risk-412339
[2]Gordon, david, "http://www.cardboardrepublic.com/classics/risk-vs-diplomacy"
[3] "Risk! Rules of Play" . Parker Brothers. 1963. https://www.hasbro.com/common/instruct/Risk1963.PDF
[4] Garrett Robinson’s “The Strategy of Risk” http://web.mit.edu/sp.268/www/risk.pdf
[5]Honary, E. (2007). Total diplomacy: The art of winning Risk. Total Diplomacy.
[6] Osborne, J. A. (2003). Markov chains for the RISK board game revisited. Mathematics magazine, 76(2), 129-135. https://www4.stat.ncsu.edu/~jaosborn/research/RISK.pdf
[7] Wolf, M. (2005). An intelligent artificial player for the game of Risk. Unpublished doctoral dissertation). TU Darmstadt, Knowledge Engineering Group, Darmstadt Germany.
http://www. ke. tu-darmstadt. de/bibtex/topics/single/33.
[8] https://martinsonesson.wordpress.com/2018/01/07/creating-an-ai-for-risk-board-game/
[9]Baris Tan, Markov Chains and the RISK Board Game, this Magazine 70 (1997), 349–357. http://www.ai.rug.nl/~dwedema/projects/Book_review:Games_and_information:_An_introduction_to_Game_Theory_July_2011.pdf
[11] Rasmusen, E., & Blackwell, B. (1994). Games and information. Cambridge, MA, 15.