菜单
  

        Intelligence can be designed into a system using traditional AI methods such as expert systems, fuzzy logic or neural networks, but the most cost-effective and powerful implementation is through the use of distributed AI, where a community of intelligent agents decides on the optimal or near-optimal action through a process of negotiation.

        Examples of such systems include intelligent machine tools, intelligent robots, intelligent geometry compressors, autonomous road vehicles, self-parking cars, pilotless aircraft and goal-seeking missiles. Autonomous mechatronic systems will be referred to in this paper also as Autonomous Mechatronics Systems or simply Intelligent Machines.

        A most interesting variety of intelligent systems is a network of mutually interconnected intelligent systems, or an Intelligent Mechatronic Network.

        Intelligent mechatronic networks are capable of deciding on their own behavior by means of negotiation between constituent autonomous units (the network nodes). Each of constituent units is itself an intelligent mechatronic system. Even more impressive is their ability to improve their own performance by self-organization (changing relations between constituent components with a view to improving the overall network performance).

        The most advanced intelligent networks pursue a continuous evolution (disconnecting and thus eliminating less useful constituent units and connecting new units perceived by the network to be beneficial for achieving current or future goals).

        Fleets of spacecraft, colonies of intelligent agricultural machinery, intelligent manufacturing systems and swarms of intelligent parcels are examples of such networks. Self-organization and evolving networks will almost certainly dominate the next decade as the most sought after engineering systems.

    2.2. Intelligence

        There is no agreed definition of Intelligence. It is considered to be too complex a concept for a neat and precise definition. My view is that if we call a class of systems ‘‘intelligent’’, we should define in what way these systems differ from the rest.

        I suggest that the following definition of intelligence is quite adequate for our purpose:

        Intelligence is the capability of a system to achieve its goals under conditions of uncertainty.

        Where, the uncertainty is caused by the occurrence of unpredictable internal

    events, such as component failures, and/or external events, e.g., unforeseeable changes in the system environments.

        To exhibit intelligent behavior a system must have access to the knowledge on the domain in which it operates, and to act upon this knowledge in response to, or in anticipation of, external inputs (rather than to passively react to input data in a preprogrammed manner). In most cases, to ‘‘act upon knowledge’’ means selecting a pattern of behavior, which takes advantage, or neutralises undesirable consequences, of unpredictable events. It is important to note that when an intelligent system meets a new problem it must find a solution by the trial-and-error method, just like human beings .

    2.3. Distributed intelligence

        The term Distributed Intelligence implies that the system has many interconnected

    decision-making units that share the responsibility for system behavior. Each unit may access the centrally stored knowledge and/or its own local knowledge, the latter arrangement usually improving the overall system performance. A distributed intelligent system is typically a network with decision-making unites as nodes and communication channels as links. The key feature of a distributed intelligent system is its Emergent Intelligence, that is, intelligence created through the

    interaction of stakeholder units. Relatively simple units when connected into a complex network are capable of generating a rather superior intelligent behavior. Such systems are often compared to colonies of ants or to swarms of bees.

  1. 上一篇:机电一体化系统英文文献和中文翻译
  2. 下一篇:java对象的介绍英文文献和中文翻译
  1. 电子商务万维网的智能销...

  2. 机电一体化模型英文文献和中文翻译

  3. 液压疲劳试验机电动机无...

  4. 智能阻尼器对大跨度斜拉...

  5. 模糊逻辑的机械手智能力...

  6. 机电一体化系统英文文献和中文翻译

  7. 机电一体化英文文献和中文翻译

  8. java+mysql车辆管理系统的设计+源代码

  9. 当代大学生慈善意识研究+文献综述

  10. 中考体育项目与体育教学合理结合的研究

  11. 电站锅炉暖风器设计任务书

  12. 乳业同业并购式全产业链...

  13. 十二层带中心支撑钢结构...

  14. 酸性水汽提装置总汽提塔设计+CAD图纸

  15. 杂拟谷盗体内共生菌沃尔...

  16. 大众媒体对公共政策制定的影响

  17. 河岸冲刷和泥沙淤积的监测国内外研究现状

  

About

751论文网手机版...

主页:http://www.751com.cn

关闭返回