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Set Learning: A Casestudy Of Top-Down Learning In A Bottom-Up Perceptual Task

Steeg, M. van de (2012) Set Learning: A Casestudy Of Top-Down Learning In A Bottom-Up Perceptual Task. Bachelor's Thesis, Artificial Intelligence.

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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: http://fse.studenttheses.ub.rug.nl/id/eprint/10481

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