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This paper describes the integration of a cognitive memory model into a spoken dialog system for an in-car tourguide application. This memory model enhances the capabilities of the system and of the simulated user by estimating if and which information is relevant and useful in a given situation. An evaluation study with 15 human judges is performed to demonstrate the feasibility of the described approach. The results show that the proposed utterance selection strategy and the memory model significantly improve the human-like interaction behavior of the spoken dialog system in terms of the amount and quality of given information, relevance, manner, and naturalness of the spoken interaction.