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An Executive for Autonomous Systems, Inspired by Fear Memory Extinction

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Abstract

We explore an executive function that performs adaptive, introspective reasoning for autonomous systems in challenging situations. This chapter presents a definition of the problem using cartoon examples for electronic warfare and submarine surveillance. A case study of neural processes in therapy for Post-traumatic Stress Disorder (PTSD) is discussed; PTSD provides both a second modelling challenge and an architectural inspiration for executive reasoning. The main body of the chapter is towards a technique for working with virtual and physical agent models in mixed human/machine systems. The architecture supposes a second-sorted reasoning system with complementary reasoning power over situations, influences and unknowns.

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Notes

  1. 1.

    An Aboriginal word for ‘be quick’.

  2. 2.

    An Aboriginal (Barngarla) word for ‘all at once’.

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Author information

Authors and Affiliations

  1. Northeastern University, Boston, MA, 02115, USA

    Matt Garcia

  2. The Australian National University, Canberra, ACT, 0200, Australia

    Ted Goranson

  3. Eastern Virginia Medical School, Norfolk, VA, 23507, USA

    Beth Cardier

  4. Trusted Autonomous Systems DCRC & Griffith University, Brisbane, Queensland, 4111, Australia

    Beth Cardier

Authors
  1. Matt Garcia
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  2. Ted Goranson
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  3. Beth Cardier
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Corresponding author

Correspondence to Ted Goranson .

Editor information

Editors and Affiliations

  1. Paine College, Augusta, GA, USA

    William F. Lawless

  2. Information Technology Division, United States Naval Research Laboratory, Washington, DC, USA

    Ranjeev Mittu

  3. United States Naval Research Laboratory, Washington, DC, USA

    Donald A. Sofge

  4. Lockheed Martin Space Systems, King of Prussia, PA, USA

    Thomas Shortell

  5. Stevens Institute of Technology, Hoboken, NJ, USA

    Thomas A. McDermott

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Garcia, M., Goranson, T., Cardier, B. (2021). An Executive for Autonomous Systems, Inspired by Fear Memory Extinction. In: Lawless, W.F., Mittu, R., Sofge, D.A., Shortell, T., McDermott, T.A. (eds) Systems Engineering and Artificial Intelligence . Springer, Cham. https://doi.org/10.1007/978-3-030-77283-3_13

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  • DOI: https://doi.org/10.1007/978-3-030-77283-3_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-77282-6

  • Online ISBN: 978-3-030-77283-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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