AN INTELLIGENT ROCK PAPER SCISSORS BOT IN ANDROID

Mustafa Shihab Assadi, Natasha Suman, Rachana Jagadish, Pavithra V

Abstract


This project deals with the creation of an intelligent android application that plays the game of Rock, Paper Scissors against the user, learning the user's patterns based on various aspects such as most commonly used inputs and the inputs used in the immediate past. With a custom algorithm, the bot achieves a minimum of a 60% win rate against the average user.


Keywords


rock; paper; scissors; intelligent; pattern recognition

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References


M. Rutledge-Taylor, Robert L. West, "Cognitive modeling versus game theory: why cognition matters", In Proceedings of the Sixth International Conference on Cognitive Modeling, 255-260.Mahwah, NJ: Lawrence Erlbaum, pp 255

Elaine Short, Justin Hart, Michelle Vu, Brian Scassellati,"No fair!!: An interaction with a cheating robot”, Applied Soft Computing, 2010, pp. 219

Yuzuru Sato, Eizo Akiyama, and J. Doyne Farmer, “Chaos in Learning a simple two-person game”, PNAS,vol. 99., Issue No 7., 2002, pp 4748-4751




DOI: https://doi.org/10.26483/ijarcs.v11i0.6610

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