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Modeling the behavior of a hierarchy of command agents with context-based reasoning

Author

Listed:
  • Rikke Amilde Løvlid
  • Solveig Bruvoll
  • Karsten Brathen
  • Avelino Gonzalez

Abstract

Context-based reasoning is a paradigm for modeling agent behavior that is based on the idea that humans only use a small portion of their knowledge at any given time. It was specially designed to represent human tactical behavior and has been successfully implemented in systems with single agents or two agents working together. In this paper, we apply this idea in a hierarchical multi-agent system of command agents, where the agents’ actions are to command and coordinate subordinates, send reports to their superiors, and communicate with other agents at the same level. We focus on how contexts and actions can be defined for these higher level command agents and how the contexts and actions for the different command agents are related. The proposed methodology is implemented and tested for a hierarchy of command agents that are interpreting and planning an operational order at a battalion level and carrying it out in a computer generated forces environment.

Suggested Citation

  • Rikke Amilde Løvlid & Solveig Bruvoll & Karsten Brathen & Avelino Gonzalez, 2018. "Modeling the behavior of a hierarchy of command agents with context-based reasoning," The Journal of Defense Modeling and Simulation, , vol. 15(4), pages 369-381, October.
    • Handle: RePEc:sae:joudef:v:15:y:2018:i:4:p:369-381
    DOI: 10.1177/1548512917702832
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    References listed on IDEAS

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    1. Brezillon, Patrick & Pasquier, Laurent & Pomerol, Jean-Charles, 2002. "Reasoning with contextual graphs," European Journal of Operational Research, Elsevier, vol. 136(2), pages 290-298, January.
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    1. Gustav Lundberg, C., 2007. "Models of emerging contexts in risky and complex decision settings," European Journal of Operational Research, Elsevier, vol. 177(3), pages 1363-1374, March.

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