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Artificial Intelligence: Memory-driven decisions in games
Blekinge Institute of Technology, Faculty of Computing, Department of Technology and Aesthetics.
Blekinge Institute of Technology, Faculty of Computing, Department of Technology and Aesthetics.
2014 (English)Independent thesis Basic level (degree of Bachelor)Student thesisAlternative title
Artificiell Intelligens : Minnesdrivna beslut i spel (Swedish)
Abstract [en]

Developing AI (Artificial Intelligence) for games can be a hard and challenging task. It is sometimes desired to create behaviors that follow some sort of logical pattern. In order to do this, information must be gathered and processed. This bachelor thesis presents an algorithm that could assist current AI technologies to collect and memorize environmental data. The thesis also covers practical implementation guidelines, established through research and testing.

Abstract [sv]

Att utveckla AI (Artificiell Intelligence) i spel kan vara en hård och utmanande uppgift. Ibland är det önskvärt att skapa beteenden som följer något sorts logiskt mönster. För att kunna göra detta måste information samlas in och processas. I detta kandidatarbete presenteras en algoritm som kan assistera nuvarande AI-teknologier för att samla in och memorera omgivningsinformation. Denna uppsats täcker också riktlinjer för praktisk implementering fastställda genom undersökning och tester.

Place, publisher, year, edition, pages
2014. , 27 p.
Keyword [en]
Artificial Intelligence, Memory, Environment, Emotions, Games
National Category
Computer Science Human Computer Interaction
Identifiers
URN: urn:nbn:se:bth-3640Local ID: oai:bth.se:arkivexA48B3D08D47F1058C1257D050049A0B9OAI: oai:DiVA.org:bth-3640DiVA: diva2:830951
Uppsok
Technology
Supervisors
Note
Detta är en reflekstionsdel till en digital medieproduktion.Available from: 2015-04-22 Created: 2014-06-28 Last updated: 2015-06-30Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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