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Conquering Complexity Through Distributed, Intelligent Agent Frameworks

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Conquering Complexity
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Abstract

Managing complexity within the real world (in this case: individual, business or military operations) can be achieved through prudent application of complex adaptive systems concepts and the use of Distributed Intelligent Agent Frameworks. A Distributed Intelligent Agent Framework provides the essential elements to support the mental, organizational and system modeling challenges of continual growth in systems complexity, whether those systems are in the real world, the information technology domain, or they span both. The overarching concept for a Distributed Intelligent Agent Framework is described, characterizing the operational requirements that are needed for implementing intelligent agents in a system that can both operate in dynamically changing environments, and can adapt to changes in such an environment. Other complementary frameworks are also characterized. The application of these frameworks will enable the development and fielding of secure and reliable systems that can operate and be maintained in our constantly changing world.

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Notes

  1. 1.

    This diagram has appeared in presentations and literature for several years, but its original source is unknown to the authors. In addition to its availability in http://commons.wikimedia.org/wiki/File:Complex-adaptive-system.jpg, it is referenced in a variety of settings including [2].

  2. 2.

    The Cougaar website is here: http://www.cougaar.org/.

  3. 3.

    ActiveEdge® is Cougaar Software, Inc.’s software development and execution management platform for building complex, distributed, intelligent decision support applications. ActiveEdge extends Open Source Cougaar to provide a more complete and robust framework for building large-scale distributed intelligent decision support applications, simplifying application development, increasing agent functionality, and providing enhanced system capabilities.

  4. 4.

    The website for the JESS Rule Engine is here: http://www.jessrules.com/.

  5. 5.

    Based on DoD, Adaptive Planning Concept of Operations, Version 3.0 (DRAFT), 15 January 2009. (Paraphrase of significantly longer descriptions in Adaptive Planning Roadmap II.)

  6. 6.

    Cougaar Software, Inc. maintains their Military Logistics Model (MLM) that represents many aspects of military operations, organizations, and battlefield assessments.

  7. 7.

    General information about the Multilateral Interoperablity Programme (MIP) is available here: https://mipsite.lsec.dnd.ca/Pages/Default.aspx.

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Acknowledgements

The authors wish to acknowledge the contributions of Mr. Kirk Deese. His graphic designs and engineering, as well as technical discussions and review, were instrumental in developing this chapter.

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Correspondence to John A. Anderson .

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© 2012 Springer-Verlag London Limited

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Anderson, J.A., Carrico, T. (2012). Conquering Complexity Through Distributed, Intelligent Agent Frameworks. In: Hinchey, M., Coyle, L. (eds) Conquering Complexity. Springer, London. https://doi.org/10.1007/978-1-4471-2297-5_15

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  • DOI: https://doi.org/10.1007/978-1-4471-2297-5_15

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-2296-8

  • Online ISBN: 978-1-4471-2297-5

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