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The ERM-Based Self-Adaptive Agent Model

机译:基于ERM的自适应代理模型

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摘要

Inspired by the mechanism of behaviour control of organisms, this paper attempts to build an underlying model of their physical and psychological activities in a dynamic environment with the purpose to achieve the self-adaption of robot behaviour in a complex, changeable environment.It designs an internal environment and emotion-& motive-generating models based upon the endocrine regulation mechanism (ERM).The robot relies upon the dynamic stability of the internal environment to accomplish its self-adaption to the external environment.The emotion-generating model is applied to in vivo and in vitro contingencies of various kinds; by releasing hormones, the emotion generated influences the robot's in vivo and in vitro perception, and then its behavioural choice.The motive-generating model is employed to maintain the relative stability of the internal environment, and the motive generated leads to the corresponding behavioural choice directly.The experimental results prove the effectiveness of this ERM-based self-adaptive robot model.
机译:受生物行为控制机制的启发,本文试图建立一个在动态环境中其生理和心理活动的基础模型,以期在复杂,多变的环境中实现机器人行为的自适应。基于内分泌调节机制(ERM)的内部环境和情绪与动机生成模型。机器人依靠内部环境的动态稳定性来实现对外部环境的自适应。各种体内和体外的意外情况;通过释放激素,产生的情绪影响机器人的体内和体外知觉,进而影响其行为选择。采用动力产生模型来维持内部环境的相对稳定性,产生的动力导致相应的行为选择。实验结果证明了这种基于ERM的自适应机器人模型的有效性。

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