Strategic reasoning in complex domains: A comparative survey on scientific AI techniques to improve real-time strategy game AI.

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Bachelor Thesis

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CC-BY-NC-ND

Abstract

Over 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.

Keywords

real-time strategy game, multi-agent, strategy, starcraft, AI, adaptive

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