Case Study of: Agent and MultiAgent Systems used for Computer Generated Forces (CGF)

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Authors
  1. Hallé, S.
  2. Bernier, N.
Corporate Authors
Defence R&D Canada - Valcartier, Valcartier QUE (CAN);LTI, Quebec Que (CAN)
Abstract
This report presents and analyzes the agent-oriented architectures that could be used to develop Computer Generated Forces (CGF) in synthetic environments. In this report, we focus on the possible use of a CGF to provide "agent-in-the-loop" constructive simulations of military combat scenarios. Such agent should provide a realistic model of situation understanding, along with realistic behaviors considering military requirements. In addition, the software agents should be able to simulate the effect of human psychological and physiological stimuli as stress, workload and fatigue. The report begins with a review of generic agent and Multiagent architectures used in the domain of Artificial intelligence (AI). Then software tools and APIs supporting the development of intelligent agents are described and analyzed considering the requirements of our project. The CGF provided with well known synthetic simulation environments as OneSAF, STRIVE and JCATS are then described by referring to previous reports on the latter simulators. Afterwards, the main topic of this report is introduced with the description of generic agent-based CGF architectures focusing on Situation Awareness (SA), decision-making and cognitive factors. Finally, we conclude the report with personal comments on the use of constructive simulations versus virtual (human-in-the-loop) simulations.

Il y a un résumé en français ici.

Report Number
DRDC-VALCARTIER-CR-2005-554 — Contractor Report
Date of publication
07 Mar 2006
Number of Pages
145
DSTKIM No
CA027958
CANDIS No
525843
Format(s):
Hardcopy;Document Image stored on Optical Disk

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