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Autonomous systems proved to be very successful in specialized problem domains. But their perception, reasoning, planning and behavior capabilities are generally designed to fit special purposes. For instance, a robotic agent perceives its environment in a way that was defined in advance by a human designer. The agent does not exhibit a certain perception behavior because it actually thinks it would be reasonable to do so. But with an increasing level of autonomy as well as a larger temporal and spatial scope of agent operation higher-level situation analysis and assessment become essential. This paper examines criteria for evaluating situation-awareness of autonomous systems and proposes methods to satisfy them. An example application scenario is presented that provides initial results for evaluating situation-aware systems.