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Cyberspace and mock apple pie: a vision of the future of graphics and virtual environments

机译:网络空间和模拟苹果派:图形和虚拟环境的未来愿景

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We assume that in the future any user's display platform can render fantastically complex scenes. Having finally shed the concerns related to the computer graphics medium, developers will concentrate on the message. Content will be key-no longer will users accept nonsensical, artistically vacant environments simply because they're presented in a head-mounted display. This will also mean that static worlds, no matter how aesthetically pleasing, will come second to environments offering interactive content. The development and provision of dynamic content lie at the heart of the problem we face. For an environment to attract significant and regular participation, it must react in an intelligent and unpredictable fashion. Today, that intelligence can come from only two sources: live human collaboration and computer-generated autonomy. Collaborative VE research combines graphics, networking, human perception, and distributed computing issues. However, these facets betray a disappointing lack of coordination. Computer-generated autonomy (CGA) will certainly become inextricably melded with computer graphics. While this article focuses on other aspects of CVEs, the National Research Council's report on Modeling and Simulation provides excellent recommendations for future avenues of research in CGA, such as behavior adaptability and human representation. Many of the infrastructure requirements for CGA-enhanced systems with a large number of synthetic actors are the same as those needed for large-scale CVEs.
机译:我们假设将来任何用户的显示平台都可以渲染极其复杂的场景。终于摆脱了与计算机图形介质有关的担忧,开发人员将专注于该消息。内容将成为关键,用户不再仅仅因为它们以头戴式显示器的形式出现就不会接受无意义,艺术空缺的环境。这也意味着静态世界,无论从审美角度来看多么令人愉悦,都将排在提供交互式内容的环境之后。动态内容的开发和提供是我们面临的问题的核心。为了使环境吸引大量且定期的参与,它必须以明智且不可预测的方式做出反应。如今,这种情报只能来自两个方面:实时的人类协作和计算机生成的自主权。协同VE研究结合了图形,网络,人类感知和分布式计算问题。但是,这些方面都令人失望地缺乏协调。计算机生成的自主权(CGA)当然将与计算机图形学融为一体。尽管本文关注CVE的其他方面,但美国国家研究委员会(National Research Council)的有关建模和仿真的报告为CGA的未来研究途径(例如行为适应性和人类代表)提供了出色的建议。具有大量合成角色的CGA增强系统的许多基础结构要求与大规模CVE所需的相同。

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