Peterson, W (2012) Using Cognitive Modeling to Construct a Believable Opponent for the game of ‘No Thanks!’. Bachelor's Thesis, Artificial Intelligence.
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Abstract
In a world in which computer games play an ever growing role there is an increasing demand for interesting artificial intelligence (AI) opponents in games. To date many games provide AI players. However most of the time these AI’s fail in creating an interesting gaming experience for the human player. One of the reasons for this could be that computer players use techniques so different from those of humans they seem very unrealistic and resemble cheating. To test this hypothesis we modeled several opponents for the card game 'No Thanks!' based on strategies reported by human players. These opponents differed in in how much they take into account the entire game and all players. A player that does this more strongly indeed performs better in the game. However, having a model that is able to play better is not a guarantee for it being interesting as an opponent.
| Item Type: | Thesis (Bachelor's Thesis) |
|---|---|
| Degree programme: | Artificial Intelligence |
| Thesis type: | Bachelor's Thesis |
| Language: | English |
| Date Deposited: | 15 Feb 2018 07:47 |
| Last Modified: | 15 Feb 2018 07:47 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/10017 |
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