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Curiosity-Driven Intrinsic Motivation Cognitive Model in Perception-Action Loop

机译:知觉-行动循环中好奇心驱动的内在动机认知模型

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摘要

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.
机译:为了研究未知环境下自主机器人鸽子的认知问题,提出了一种感知行为循环中好奇心驱动的内在动机认知模型。该模型通过批判,概率行为选择和方向更新的过程,模拟了心理学中内在动机的认知机制,可以实现智能主体的行为认知。通过引入好奇心(好奇心是内在动机的主要要素),可以更新处于相同状态的不同时间的探索程度,并在认知过程中增加确定性。通过信息熵的度量表明,所提出的认知模型的应用可以实现对行为选择的更好认知。通过仿真实验,验证了该模型在变化环境中的适应性,也反映了与生物认知相似的认知过程,证明该模型是有效的。

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