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首页> 外文会议>World Multiconference on Systemics, Cybernetics and Informatics(SCI 2002) v.6: Industrial Systems and Engineering I; 20020714-20020718; Orlando,FL; US >A Content Functional Approach to Intelligence in Robotic Systems
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A Content Functional Approach to Intelligence in Robotic Systems

机译：机器人系统中智能的内容功能方法

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摘要

An overall method for real-time decision-control systems is described. This system overcomes the traditional AI constraints of speed and storage space, especially for small systems. The concept of critical situation is reduced to bit patterns that may be grouped and prioritized in order to mask incoming real-time input data and to trigger appropriate actions on the part of the agent/system. This notion of the dual role of data as passive information as well as containing action codes is referred to as being "content functional." Time constraints are also suggested for situations when stimuli will activate instructions or for situations when time might expire, resulting in no action taken. Possibilities for varieties of learning are also introduced.
机译：描述了用于实时决策控制系统的总体方法。该系统克服了传统AI对速度和存储空间的限制，特别是对于小型系统。危急情况的概念简化为可以分组和优先处理的位模式，以便掩盖传入的实时输入数据并触发代理/系统部分的适当操作。数据作为被动信息以及包含动作代码的双重角色的这种概念被称为“内容功能”。对于刺激将激活指令的情况或时间可能到期而导致不采取任何措施的情况，也建议设置时间限制。还介绍了各种学习的可能性。

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