感知-行动循环中好奇心驱动的内在动机认知模型

Jing Chen, Yanan Yu
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引用次数: 0

摘要

为了研究未知环境下自主机器鸽子的认知问题,提出了一种基于好奇心驱动的感知-行动回路内动机认知模型。该模型模拟了心理学中内在动机的认知机制,通过批评、概率行为选择、取向更新等过程,实现了智能主体的行为认知。通过引入好奇心这一内在动机的主要元素,可以更新同一状态下不同时间的探索程度,增加认知过程中的确定性。信息熵测量表明,应用该认知模型可以更好地实现对行为选择的认知。通过仿真实验,验证了所提模型在不断变化的环境中的适应性,同时也反映了与生物认知相似的认知过程,证明了模型的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Curiosity-Driven Intrinsic Motivation Cognitive Model in Perception-Action Loop
To study the cognitive problems for autonomous robotic pigeon in an unknown environment, a curiosity-driven intrinsic motivation cognitive model in the perception-action loop is proposed. The model simulates the cognitive mechanism of intrinsic motivation in psychology, through the process of critic, probabilistic behavior selection, and orientation updating, which can implement the behavior cognition of an intelligent agent. By the introduction of curiosity, which is the main element of intrinsic motivation, the exploration degree at different times with the same state can be updated, and the certainty is increased during the cognitive process. Measure by information entropy illustrates that the application of the proposed cognitive model can achieve better cognition for behavior selection. By simulation experiment, we verify the adaptability of the proposed model in a changing environment, which also reflected the cognitive processes similar to biological cognition, and the model is proved to be effective.
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