Abstract
Autonomous systems are expected to have a major impact in future coalition operations to assist humans in achieving complex tasks. Policies are typically used by systems to define their behavior and constraints and often these policies are manually configured and managed by humans. This paper presents a demonstration of a recent Generative Policy-based Model (GPM) approach applied to generating coalition policies for asset serviceability. This demonstrates the flexibility of the approach for generating policies in a distributed coalition environment to facilitate effective collaboration between coalition partners.
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Acknowledgements
This research was sponsored by the U.S. Army Research Laboratory and the U.K. Ministry of Defence under Agreement Number W911NF-16-3-0001. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the U.S. Army Research Laboratory, the U.S. Government, the U.K. Ministry of Defence or the U.K. Government. The U.S. and U.K. Governments are authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation hereon.
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Cunnington, D., White, G., Law, M., de Mel, G. (2019). A Demonstration of Generative Policy Models in Coalition Environments. In: Demazeau, Y., Matson, E., Corchado, J., De la Prieta, F. (eds) Advances in Practical Applications of Survivable Agents and Multi-Agent Systems: The PAAMS Collection. PAAMS 2019. Lecture Notes in Computer Science(), vol 11523. Springer, Cham. https://doi.org/10.1007/978-3-030-24209-1_22
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DOI: https://doi.org/10.1007/978-3-030-24209-1_22
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