Simulating Yamslam in R: Optimal Strategy of a Weighted Dice Game
| dc.contributor.author | Peterman, Noah W. | |
| dc.date.accessioned | 2023-08-14T15:48:23Z | |
| dc.date.available | 2023-08-14T15:48:23Z | |
| dc.date.issued | 2022 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.12648/11601 | |
| dc.description.abstract | Games of chance offer a level of mathematical strategy that can maximize the chances of success. Yamslam, a token-related spinoff of the famous Milton Bradley game Yahtzee, naturally creates strategic opportunities for players that aim to achieve optimal gameplay. This project explores dice roll simulations in R for modeling the best response strategies in several particular scenarios. Using the simulated expected values, I consider the possible actions and identify the optimal decisions. My results lay a groundwork for simulating the entire game of Yamslam and pinpoint the strategies that maximize the game points and therefore the chances to win. | |
| dc.subject | First Reader Iuliia Chikish | |
| dc.subject | Senior Project | |
| dc.subject | Semester Fall 2022 | |
| dc.title | Simulating Yamslam in R: Optimal Strategy of a Weighted Dice Game | |
| dc.type | Senior Project | |
| refterms.dateFOA | 2023-08-14T15:48:23Z | |
| dc.description.institution | Purchase College SUNY | |
| dc.description.department | Economics | |
| dc.description.degreelevel | Bachelor of Arts | |
| dc.description.advisor | Chikish, Iuliia | |
| dc.date.semester | Fall 2022 | |
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