To increase the depth and appeal of computer games, the intelligence of the characters they contain needs to be in-creased. Intelligent agents that are aware of how goals can be achieved and reasoned about should play these characters. Existing AI methods struggle in the computer game domain because of the real-time response required from the algorithms and restrictive processor availability. This paper discusses the CogAff architecture as the basis for an agent that can display goal orientated behavior under real-time constraints. To aid performance in real-time domains (e.g. computer games) it is proposed that both the processes encapsulated by the architecture, and the information it must operate on should be structured in a way that encourages a fast yet flexible response from the agent. In addition, anytime algorithms are discussed as a method for planning in real-time.
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