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首页> 外文期刊>IEEE Transactions on Systems, Man, and Cybernetics >A methodology for human-machine systems research: knowledge engineering, modeling, and simulation
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A methodology for human-machine systems research: knowledge engineering, modeling, and simulation

机译：人机系统研究的方法论：知识工程，建模和仿真

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摘要

This paper proposes a methodology for carrying out human-machine systems engineering research and in particular focuses on the development of knowledge-based support for training and aiding. The process is characterized by the definition of knowledge requirements, a normative model structure of human-machine interaction, a knowledge architecture that implements the model, and an interactive real-time simulation environment. The knowledge requirements largely specify the model, knowledge architecture, and simulation. The model and the knowledge architecture are the basis for the design of intelligent systems. The simulation serves as an experimental testbed that provides a feasible, safe, and effective means for exploring alternative human-machine systems designs and also facilitates technology transfer. The aim is to create an understanding of a complex work domain that forms the context for ongoing research in human-machine interaction. A specific example from satellite ground control is described.
机译：本文提出了一种进行人机系统工程研究的方法，特别是着重于基于知识的培训和辅助支持的开发。该过程的特征在于知识需求的定义，人机交互的规范模型结构，实现模型的知识体系结构以及交互式实时仿真环境。知识需求在很大程度上指定了模型，知识体系结构和模拟。该模型和知识体系结构是智能系统设计的基础。该仿真充当实验测试平台，为探索替代的人机系统设计提供了可行，安全和有效的手段，并且还促进了技术转让。目的是建立对复杂工作领域的理解，该领域构成了正在进行的人机交互研究的背景。描述了来自卫星地面控制的具体示例。

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