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SET learning - A study of top-down learning in a bottom-up perceptual task

Jansen, S. (2011) SET learning - A study of top-down learning in a bottom-up perceptual task. Bachelor's Thesis, Artificial Intelligence.

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Abstract

A lot of research has been done at looking at the difference between novice and practiced players in learning tasks. One of these tasks is SET. The SET game provides opportunity to study both perceptual and cognitive processes in a single task. In this research we look at how players transition from novice to expert level, and what roles perceptual and cognitive processes play in such transition. Both types of processes are studied as integral parts of a single task. To do this, we asked subjects to play SET against a computer opponent while logging their data. Strategies and preferences which influence performance are examined and we will emphasize on how these aspects change over time.

Item Type: Thesis (Bachelor's Thesis)
Degree programme: Artificial Intelligence
Thesis type: Bachelor's Thesis
Language: English
Date Deposited: 15 Feb 2018 07:46
Last Modified: 15 Feb 2018 07:46
URI: http://fse.studenttheses.ub.rug.nl/id/eprint/9731

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