Abstract: Cognitive computing systems should have the ability to reason about their environment (including other systems), their goals, and their own capabilities and use these skills to act in a goal directed manner through cooperation with both humans and other cognitive computing systems. This project views UAVs as mobile cognitive computing systems with adjustable autonomy, integrated in network-centric environments. Such a view introduces a wide variety of challenges in the areas of cooperative mission planning, distributed information fusion, knowledge representation and situation awareness. With humans in the loop, technologies where users and systems interact to solve tasks and mixed initiative planning, where users and systems cooperate to create and monitor plans become essential for realistic use of multi-platform systems. The project will give valuable knowledge in the field of autonomous task planning for single and multiple UAV applications. The project will also explore and develop methods for situation assessment and knowledge representation needed for autonomous UAVs as well as for decision support systems in manned systems. The development of the capabilities described in this project will be pursued in an incremental and modular manner. Consequently, it will be possible to change strategy and focus on functionalities that are deemed more interesting in isolation where more manpower can be added if desirable.