AI in CGFs comparative analysis – Summary report

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Authors
  1. Parkinson, G.
Corporate Authors
Defence R&D Canada - Ottawa, Ottawa ONT (CAN);SIMFRONT, Ottawa Ont (CAN)
Abstract
Simulation provides a training and experimentation capability that cannot be duplicated in the real world. As the shift to simulation-based training and experimentation continues, the complexity of the simulation scenarios grows and the realism of synthetic entities becomes a limiting factor for effective experimentation and training. Through the integration of artificial intelligence (AI) with the computer generated forces (CGF) software, this can be overcome. Intelligent entities can operate more autonomously, learn from experience, self-organize, and display more realistic behaviour. This report proposes a set of requirements for such an AI module and through an evaluation of candidate development tools identifies the feasibility and sets the strategic direction for the development of an AI module.

Il y a un résumé en français ici.

Report Number
DRDC-OTTAWA-CR-2009-201 — Contractor Report
Date of publication
01 Dec 2009
Number of Pages
346
DSTKIM No
CA033504
CANDIS No
532794
Format(s):
Electronic Document(PDF)

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