Strategies in the Game of Mafia
Date
2021-12-07
Authors
Contributor
Advisor
Department
Instructor
Depositor
Speaker
Researcher
Consultant
Interviewer
Narrator
Transcriber
Annotator
Journal Title
Journal ISSN
Volume Title
Publisher
Volume
6
Number/Issue
1
Starting Page
Ending Page
Alternative Title
Abstract
Mafia is a game that involves two opposing groups, the vanilla townies and the mafia, that each aim to become the winning majority. Though versions of the game may account for more specialized roles and alignments, our version uses the original game of Mafia where additional roles will only include a doctor and a cop, both in favor of the townies. This paper focuses on the impact of each role at different stages of the game to form optimal strategies for the different roles, taking into account that mafias depend on possibility while the townies depend on probability. A hypothesis is first made with theoretical probabilities based on common and logical plays that will then be compared to experimental probabilities derived from real-life games conducted. These findings are then evaluated to compose a strategy. This investigation focuses on a theoretical game with perfect circumstances, disregarding qualitative factors, that include but are not limited to, bluffing, body language, and manipulation, that may affect players’ mannerisms and potentially the outcome of the game. It turns out that an individual vanilla townie has limited flexibility in their playstyle since they should always vote as a group while the mafia will have to rely on random possibilities to eliminate special roles. Moreover, the doctor should act as any other vanilla townie, never revealing their role, while cops, should share their investigations and reveal themselves when half the number of the mafia are found.
Description
Keywords
Citation
Extent
Format
Geographic Location
Time Period
Related To
Related To (URI)
Table of Contents
Rights
Rights Holder
Local Contexts
Collections
Email libraryada-l@lists.hawaii.edu if you need this content in ADA-compliant format.