Oortman Gerlings, Max (2023) The game of skull testing strategies against random play. Bachelor's Thesis, Artificial Intelligence.
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Abstract
Games have been a subject in various studies, and one of these well-researched sub- jects is Theory of Mind. Theory of Mind allows a person to understand the thoughts and mental states of another person. In games, a player will want to predict and know as much about the opponents’ thoughts and their possible strategies. For example, theory of mind is needed to bluff effectively, by reasoning about how the beliefs of others can be incorrect. Research has found that bluffing can be a vital part of a player’s strategy in games like Poker and Liar’s Dice. A similar type of game with little research is the auction game of Skull. In this three to six player game, the players bid on the number of cards they believe they can turn over without revealing a skull card. The study aims to determine whether there is a good strategy against the bluff of another player to win the game of Skull. To measure this, an agent model was constructed to play these games. These agents can play the game with bluffing or counter strategies. The model generated data by playing 1000 games using different agent setups. The results showed that bluffing was a good strategy for a player and improved the chances of winning. However, the counter strategy was not considered to be a better approach. Future research could look into a more complete strategy to counter bluffing players.
| Item Type: | Thesis (Bachelor's Thesis) |
|---|---|
| Supervisor name: | Weerd, H.A. de |
| Degree programme: | Artificial Intelligence |
| Thesis type: | Bachelor's Thesis |
| Language: | English |
| Date Deposited: | 11 Apr 2023 10:01 |
| Last Modified: | 11 Apr 2023 10:01 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/29519 |
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