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The projected use of Uninhabited Combat Air Vehicles (UCAVs) in combat missions raises the challenge of providing the intelligent functionality that will allow them to carry out their tasks in autonomous mode. This challenge is composed by the fact that UCAVs will have to act in a dynamic environment, which will constantly require changes in the mission plans. In this paper, we present an approach to the autonomy of planbased mission execution in the context of multi-UCAV missions. In particular, we concentrate on two essential aspects of mission execution: the assessment of the mission environment, and the adjustment of UCAV plans to the variations in the mission environment. The situation assessment and plan modification are discussed within the framework of an agent-based simulation environment, which allows the high-fidelity replication of the actual mission environment and allows users to experiment with UCAV capabilities in various types of combat situations.

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