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2019 | OriginalPaper | Buchkapitel

A Demonstration of Generative Policy Models in Coalition Environments

verfasst von : Daniel Cunnington, Graham White, Mark Law, Geeth de Mel

Erschienen in: Advances in Practical Applications of Survivable Agents and Multi-Agent Systems: The PAAMS Collection

Verlag: Springer International Publishing

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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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Literatur
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Zurück zum Zitat Bertino, E., Calo, S., Touma, M., Verma, D., Williams, C., Rivera, B.: A cognitive policy framework for next-generation distributed federated systems: concepts and research directions. In: The IEEE 37th International Conference on Distributed Computing Systems (ICDCS), pp. 1876–1886, June 2017. https://doi.org/10.1109/ICDCS.2017.78 Bertino, E., Calo, S., Touma, M., Verma, D., Williams, C., Rivera, B.: A cognitive policy framework for next-generation distributed federated systems: concepts and research directions. In: The IEEE 37th International Conference on Distributed Computing Systems (ICDCS), pp. 1876–1886, June 2017. https://​doi.​org/​10.​1109/​ICDCS.​2017.​78
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Zurück zum Zitat Cunnington, D., et al.: An answer set grammar-based generative policy model for connected and autonomous vehicles (2019, submitted for publication) Cunnington, D., et al.: An answer set grammar-based generative policy model for connected and autonomous vehicles (2019, submitted for publication)
4.
Zurück zum Zitat Cunnington, D., White, G., de Mel, G.: Synthetic ground truth for evaluating generative policy models. Submitted for review at International Conference on Smart Computing, DAIS Workshop 2019 (2019) Cunnington, D., White, G., de Mel, G.: Synthetic ground truth for evaluating generative policy models. Submitted for review at International Conference on Smart Computing, DAIS Workshop 2019 (2019)
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Zurück zum Zitat Law, M., Russo, A., Elisa, B., Krysia, B., Jorge, L.: Representing and learning grammars in answer set programming. In: The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-2019) (2019) Law, M., Russo, A., Elisa, B., Krysia, B., Jorge, L.: Representing and learning grammars in answer set programming. In: The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-2019) (2019)
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Zurück zum Zitat Verma, D., et al.: Generative policy model for autonomic management. In: IEEE SmartWorld, Ubiquitous Intelligence Computing, Advanced Trusted Computed, Scalable Computing Communications, Cloud Big Data Computing, Internet of People and Smart City Innovation, pp. 1–6 (2017) Verma, D., et al.: Generative policy model for autonomic management. In: IEEE SmartWorld, Ubiquitous Intelligence Computing, Advanced Trusted Computed, Scalable Computing Communications, Cloud Big Data Computing, Internet of People and Smart City Innovation, pp. 1–6 (2017)
Metadaten
Titel
A Demonstration of Generative Policy Models in Coalition Environments
verfasst von
Daniel Cunnington
Graham White
Mark Law
Geeth de Mel
Copyright-Jahr
2019
DOI
https://doi.org/10.1007/978-3-030-24209-1_22

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