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Simulation of Human Cognition in Self-Optimizing Assembly Systems

机译:自我优化装配系统中人类认知的仿真

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In a work system with direct human robot cooperation the conformity of the operator's expectation with the behavior of the robotic device is of great importance. In this contribution a novel approach for the numerical control of such a system based on human cognition and a cognitive engineered approach for the encoding of the system's a priori knowledge is introduced. The implementation using an established method in the field of design of cognitive systems is compared to a schema describing human decision making. Simulation results of the basic implementation are compared to empirical test with individuals and improvements to the implementation are introduced and evaluated by their logarithmic conditional probability.
机译:在具有直接的人类机器人协作的工作系统中,操作者的期望与机器人设备的行为的一致性非常重要。在这一贡献中,介绍了一种基于人类认知的用于这种系统的数控的新颖方法,以及一种用于对该系统的先验知识进行编码的认知工程方法。将在认知系统设计领域中使用已建立方法的实现与描述人类决策的方案进行比较。将基本实现的仿真结果与个人进行的经验测试进行比较,并通过对数条件概率介绍和评估实现的改进。

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