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Exploring a video game AI bot that scans and reacts to its surroundings in real-time.
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
2018 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

The buzz surrounding artificial intelligences continues to grow. They are currently used in a wide variety of systems and appliances, such as video games, virtual personal assistants, and self-driving cars. This paper explores the possibility of a self-learning AI that can play the classic arcade game Q*BERT, using only screenshots as input. It is tested to work on several different screens sizes, and the results are collected and compared to that of a human player, as well as results from previous research. The results are fairly positive. While the AI had a hard time of matching the human player on average score, it did get close to the highest score.

Place, publisher, year, edition, pages
2018. , p. 22
Keywords [en]
Artificial intelligence, image processing, neural network
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:lnu:diva-76737OAI: oai:DiVA.org:lnu-76737DiVA, id: diva2:1231899
Educational program
Datavetenskap, kandidatprogram, 60 hp
Supervisors
Examiners
Available from: 2018-07-12 Created: 2018-07-09 Last updated: 2018-07-12Bibliographically approved

Open Access in DiVA

fulltext(720 kB)70 downloads
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Type fulltextMimetype application/pdf

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf