Date of Submission
Spring 2021
Academic Program
Computer Science
Project Advisor 1
Kerri-Ann Norton
Abstract/Artist's Statement
The objective of my Senior Project is to create a simplified version of a board game Abyss designed by Bruno Cathala and Charles Chevallier. By simplified I mean consisting only of one part of the original game, which is the Exploration phase. For the purpose of constructing the game I use the idea of a finite state machine implemented in Processing. Aside from the game itself, I have also created three different artificial players. Each of them makes decisions based on different types of calculations. Deterministic player takes into account part of a state in which the environment is in to determine its decision. Probabilistic player operates similarly to Dungeons and Dragons mechanics - it calculates probability of undertaking a specific action based on the state of the environment, and then picks a random number - if the number is lower than the probability, then the action is chosen. Utility player on the other hand, compares utilities of possible actions before making its decision. In this paper I analyze and compare 100 gameplays of these artificial agents to determine which type of artificial intelligence is the best at winning the game
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Recommended Citation
Krajewska, Karolina, "Programming Abyss with AI" (2021). Senior Projects Spring 2021. 45.
https://digitalcommons.bard.edu/senproj_s2021/45
This work is protected by a Creative Commons license. Any use not permitted under that license is prohibited.
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