Knowledge-Rich Intelligent Agents for SOF Training
نویسندگان
چکیده
This paper provides an overview of a variety of applications of knowledge-based systems and intelligent agents to modeling and simulation for special operations training. There are a number of ways in which intelligent agents can support training; including modeling special-operations individuals, other members of the blue forces, as well as opponent forces. The paper presents examples of each of these and provides a description of the knowledge acquisition and engineering efforts we have developed to build such systems. Applying intelligent agents to simulation-based training provides new opportunities to develop training exercises that are more consistent, less expensive, and more portable. These all provide opportunities for special operations members to train individually when they have time, rather than needing to schedule large-scale events.
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