Augmenting the Human Entity Through Man/Machine Collaboration

J. C. Barca, R. Li
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引用次数: 7

Abstract

Both humans and machines exhibit strengths and weaknesses that can be enhanced by merging the two separate entities. This research aims to provide a broader understanding of how closer interaction between these two entities can facilitate more optimal goal related performance through the use of artificial extension of the human body. Such extension may assist us in adapting to and manipulate our environments in a more effective way than any organism observed to day. To demonstrate this concept, the researchers have developed a simulation where a semi interactive virtual spider can be navigated through an environment that includes several obstacles and a virtual predator capable of killing the spider. The virtual spider in turn, can be navigated through the use of three different control systems that when combined optimises overall goal related performance. An onscreen button interface and a touch sensor facilitate human navigation of the spider, while a third control system is based on automatic navigation through the use of Classical AI. The last mentioned control system enables the spider to navigate and react to changes in its local environment with the benefits provided by machine intelligence. The results of this study indicate that machines should be allowed to disobey human control, to obtain optimal benefits of man machine collaboration. This research further indicates that the development of; Strong AI; sensor systems that engage all human senses; extra sensory input systems; physical remote manipulators; intelligent extension of the human body; and a tighter symbiosis between man and machine can support an upgrade of the human form.
通过人机协作增强人的实体
人类和机器都表现出各自的优势和劣势,这可以通过合并两个独立的实体来增强。本研究旨在更广泛地了解这两个实体之间的密切互动如何通过使用人体的人工延伸来促进更优的目标相关表现。这种扩展可以帮助我们以比目前观察到的任何生物体更有效的方式适应和操纵我们的环境。为了证明这一概念,研究人员开发了一个模拟,在这个模拟中,一个半交互式的虚拟蜘蛛可以通过一个包含几个障碍物和一个能够杀死蜘蛛的虚拟捕食者的环境。反过来,虚拟蜘蛛可以通过使用三种不同的控制系统进行导航,当组合使用时,可以优化与目标相关的总体性能。屏幕上的按钮界面和触摸传感器方便了人类对蜘蛛的导航,而第三个控制系统则是通过使用经典人工智能来实现自动导航。最后提到的控制系统使蜘蛛能够在机器智能提供的好处下导航并对当地环境的变化做出反应。研究结果表明,应允许机器不服从人的控制,以获得人机协作的最佳效益。本研究进一步表明;强人工智能;涉及人类所有感官的传感器系统;额外的感官输入系统;物理遥控机械手;人体的智能延伸;人与机器之间更紧密的共生关系可以支持人类形态的升级。
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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