Computer generated intelligent companions for distributed virtual environments

Mark Edwards, E. Santos, S. Banks, M. Stytz
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引用次数: 4

Abstract

The employment of computer generated forces (CGFs) within distributed virtual environments (DVEs) dramatically increases the number of entities in a simulated training environment. However, current CGF limitations produce behaviours that can be defeated using methods ineffective against humans. Our research focuses on developing aircraft CGFs. It is necessary to deal with uncertainty, ambiguity, and approximation. The Fuzzy Wingman (FW) relies on fuzzy logic to provide these abilities. In this manner, the FW presents a reasonable approach to effectively populating the simulated training environment with low cost CGFs while maintaining the realism of training with human controlled entities.
面向分布式虚拟环境的计算机生成智能同伴
在分布式虚拟环境(dve)中使用计算机生成的部队(CGFs)大大增加了模拟训练环境中的实体数量。然而,目前的CGF限制产生的行为可以用对人类无效的方法来克服。我们的研究重点是开发飞机CGFs。有必要处理不确定性、模糊性和近似性。模糊僚机(FW)依靠模糊逻辑来提供这些能力。通过这种方式,FW提供了一种合理的方法,可以有效地用低成本的CGFs填充模拟训练环境,同时保持人类控制实体训练的真实感。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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