Steeg, M. van de (2012) Set Learning: A Casestudy Of Top-Down Learning In A Bottom-Up Perceptual Task. Bachelor's Thesis, Artificial Intelligence.
|
Text
BachelorThesisMichiel3.pdf - Published Version Download (456kB) | Preview |
|
![[img]](https://fse.studenttheses.ub.rug.nl/style/images/fileicons/text.png) |
Text
SteegMAkkoord.pdf - Other Restricted to Registered users only Download (12kB) |
Abstract
In this article, we look at the game Set as a casestudy of learning. This game is particularly useful for this cause because it has both perceptual and cognitive processes, and the interaction between these two in a single task. To study these processes, we asked subjects to play the game against a computer. We looked at different possible explanations for how the players transition from a novice to an expert player, and in particular in which of the processes these changes manifest themselves.
| Item Type: | Thesis (Bachelor's Thesis) |
|---|---|
| Degree programme: | Artificial Intelligence |
| Thesis type: | Bachelor's Thesis |
| Language: | English |
| Date Deposited: | 15 Feb 2018 07:50 |
| Last Modified: | 15 Feb 2018 07:50 |
| URI: | https://fse.studenttheses.ub.rug.nl/id/eprint/10481 |
Actions (login required)
 |
View Item |