Thesis Topic Details
Topic ID: |
3226 | |
Title: |
Game AI: Modelling the player | |
Supervisor: |
Malcolm Ryan | |
Research Area: |
Artificial Intelligence, Game Design | |
| Associated Staff | ||
|---|---|---|
Assessor: |
Alan Blair | |
| Topic Details | ||
Status: |
Active | |
Type: |
Research | |
Programs: |
CE BIOM BINF SE | |
Group Suitable: |
Yes | |
Industrial: |
No | |
Pre-requisites: |
COMP4431 + COMP3411 | |
Description: |
When we design games, we need to playtest often in order to be certain how players are going to react to our designs. It would be convenient if we could build models of players that gave us some idea of how they might react to design changes before we go to the trouble of playtesting. In this project you will attempt to use AI techniques to learn models of how players interact with a simple game and then use those models to auto-playtest new level designs. |
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Comments: |
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| Past Student Reports | ||
| No Reports Available. Contact the supervisor for more information.
Check out all available reports in the CSE Thesis Report Library. NOTE: only current CSE students can login to view and select reports to download. |
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