Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • harvard-cite-them-right
  • 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
Genetic Improvements to Procedural Generation in Games
University of Borås, Faculty of Librarianship, Information, Education and IT.
University of Borås, Faculty of Librarianship, Information, Education and IT.
2018 (English)Independent thesis Basic level (degree of Bachelor), 15 credits / 22,5 HE creditsStudent thesisAlternative title
Genetiska Förbättringar Till Procedurell Generering i Spel (Swedish)
Abstract [en]

One of the biggest industries today is the gaming industry. A multitude of games are sold each year, competing for the players’ attention and wallets. One of the common important techniques used today to produce game content is procedural content generation, where the computer generates small or larger parts of a game which often affects the gameplay experience. The purpose of this study is to design and implement a framework which can be used to evaluate and improve the procedural content generation in games, so that the gameplay experience for players in procedurally generated games can be increased. The research method used was design science, and the theories upon which the framework is built with are flow, procedural content generation and the genetic algorithm. The framework first was designed, and then implemented as an artifact in the form of a roguelike game, so that the framework’s functionality could be evaluated and validated. The game was then set up on a webpage so that anyone could contribute to the research by playing by giving feedback of how well the procedural content generation was performing in the form of a questionnaire within the game. Hence, the results of the study was twofold. The framework itself, and secondly the implementation of the framework in the form of a roguelike game.

Abstract [sv]

En av de största industrierna idag är spelindustrin. En stor mängd av spel säljs varje år, vilka konkurrerar om spelarnas uppmärksamhet och plånböcker. En av de vanligaste teknikerna idag för att skapa innehåll till spel är procedurell generering där datorn genererar små eller stora delar av spelet, vilket ofta har inverkan på spelupplevelsen. Syftet med denna studie är att designa och implementera ett ramverk, vilket kan användas till att evaluera och förbättra den procedurella genereringen av spelinnehållet i spel, så att spelupplevelsen för spelare i procedurellt genererade spel kan förbättras. Forskningsmetoden som användes var design science, och de teorier som ramverket bygger på är flow, procedurell generering och den genetiska algoritmen. Ramverket designades först, och implementerades sedan som en artefakt i formen av ett rouge-likt spel, så att ramverkets funktionalitet kunde evalueras och valideras. Spelet lades upp på en hemsida, så att vem som helst kunde bidra till forskningen genom att spela och ge gensvar på hur väl den procedurellt genererade innehållet presterade. Härav så blev resultaten av studien tvåfaldig, ramverket självt, och implementationen av det i formen av ett rouge-liknande spel

Place, publisher, year, edition, pages
2018.
Keywords [en]
genetic algorithm, flow, procedural generation, games, gaming, experience
Keywords [sv]
genetiska algoritmen, flow, procedurell generering, spel, upplevelse
National Category
Information Systems
Identifiers
URN: urn:nbn:se:hb:diva-13815OAI: oai:DiVA.org:hb-13815DiVA, id: diva2:1190476
Subject / course
Informatics
Supervisors
Examiners
Available from: 2018-03-20 Created: 2018-03-14 Last updated: 2018-05-07Bibliographically approved

Open Access in DiVA

fulltext(1291 kB)1099 downloads
File information
File name FULLTEXT01.pdfFile size 1291 kBChecksum SHA-512
adb5b24bf76dfaf9a3befa5f61d045792badd12a685f55707e9422476729be69b048764f4f12ffc0582d38930d13ed83bd8d04843fcb1c70d85883e5c83efc73
Type fulltextMimetype application/pdf

By organisation
Faculty of Librarianship, Information, Education and IT
Information Systems

Search outside of DiVA

GoogleGoogle Scholar
Total: 1099 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 606 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • harvard-cite-them-right
  • 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