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dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorBroersen, J.
dc.contributor.authorMens, K. van
dc.date.accessioned2012-06-21T17:01:12Z
dc.date.available2012-06-21
dc.date.available2012-06-21T17:01:12Z
dc.date.issued2012
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/10551
dc.description.abstractOver the past decade, scientific artificial intelligence research has picked up real-time strategy video games as testbed for research. The large amount of data, the dynamic environment and strategic depth of the game makes the genre a challenge for scientific artificial intelligence research. This thesis is a comparative survey of two artificial intelligence techniques from scientific research, Case-based reasoning and Dynamic Scripting, to create a strong real-time strategy game playing agent.
dc.description.sponsorshipUtrecht University
dc.format.extent671456 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.titleStrategic reasoning in complex domains: A comparative survey on scientific AI techniques to improve real-time strategy game AI.
dc.type.contentBachelor Thesis
dc.rights.accessrightsOpen Access
dc.subject.keywordsreal-time strategy game, multi-agent, strategy, starcraft, AI, adaptive
dc.subject.courseuuKunstmatige Intelligentie


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