WINNING SIMULATION IN ONLINE GAME: AMONG US

This paper used probability theory and combinatorics approach to determine winning probability in Among Us game. Among Us is a social deductive game which there are two teams in game: crewmate team and impostor team. Both teams can win the game by eliminating all opponents team's members. In...

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Bibliographic Details
Main Author: Dewa Gede Ary Palguna, I
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/57700
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Institution: Institut Teknologi Bandung
Language: Indonesia
Description
Summary:This paper used probability theory and combinatorics approach to determine winning probability in Among Us game. Among Us is a social deductive game which there are two teams in game: crewmate team and impostor team. Both teams can win the game by eliminating all opponents team's members. In this paper, the writer introduced vote out mechanism system that can be applied in Among Us game. Vote out mechanism is a way to eliminate players with random until there is a winning team. The process in eliminating players is done by random, in this case then there is a winning probability that can be calculated by combinations of probability theory and combinatorics. Winning probability calculation is needed in decision making before decided to use vote out mechanism in a game.