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Sense syncretic model toward the construction of 'robot-original-language'

机译:感测“机器人原创语言”构建的综合模型

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To syncretize and/or abstract sense information is indispensable work so that an agent can arrange behavior planning, recognize the environment and communicate with other agents. In this paper, a sense syncretic model based on the physiology and a "desire" emergence algorithm based on an evaluation of self-preservation are presented. The model and the algorithm are implemented in a real robot model. As the results of the experiments, it is suggested that the syncretized information has the possibility of application to a new human-machine communication tool: "robot-original-language".
机译:要融合和/或抽象的感知信息是必不可少的工作,以便代理可以安排行为规划,识别环境并与其他代理通信。本文提出了一种基于生理学的感测综合模型和基于自我保存评估的“欲望”出现算法。该模型和算法在真正的机器人模型中实现。作为实验结果,建议综合信息具有应用于新的人机通信工具:“机器人原创语言”。

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