A theory of intelligent systems
A theory of intelligent systems
复制标题
智能系统理论
DOI：
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发表时间：
1990
期刊：
影响因子：
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通讯作者：
J. Albus
中科院分区：
文献类型：
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作者：
J. Albus
作者提出了一个由七个基本要素组成的理论模型：执行器、传感器、感觉处理、世界建模、任务分解、价值判断和全局记忆/通信。这些元素被集成到分层系统架构中，其中（a）控制带宽在每个较高级别减少约一个数量级，（b）空间和时间模式的感知分辨率在每个较高级别收缩约一个数量级，（c）目标范围扩大，规划视野在每个较高级别在空间和时间上扩展约一个数量级，以及（d）世界模型和事件记忆在每个较高级别在空间和时间上扩展约一个数量级。在每个级别，紧密耦合的功能模块执行任务分解、世界建模、感知处理和价值判断。反馈控制回路在每一级都是闭合的。<<ETX>>
The author proposes a theoretical model consisting of seven basic elements: actuators, sensors, sensory processing, world modeling, task decomposition, value judgment, and global memory/communications. These elements are integrated into a hierarchical system architecture wherein (a) control bandwidth decreases about an order of magnitude at each higher level, (b) perceptual resolution of spatial and temporal patterns contracts about an order of magnitude at each higher level, (c) goals expand in scope and planning horizons expand in space and time about an order of magnitude at each higher level, and (d) world models and event memories expand in space and time by about an order of magnitude at each higher level. At each level, tightly coupled functional modules perform task decomposition, world modeling, sensory processing, and value judgment. Feedback control loops are closed at every level.<<ETX>>