系统仿真学报 ›› 2018, Vol. 30 ›› Issue (2): 427-434.doi: 10.16182/j.issn1004731x.joss.201802008

• 仿真建模理论与方法 • 上一篇    下一篇

一种模拟基底神经节机理的自主认知模型

李宗帅1, 陈静2   

  1. 1.中国民航大学电子信息与自动化学院,天津 300300;
    2.天津职业技术师范大学信息技术工程学院,天津 300222
  • 收稿日期:2016-05-11 出版日期:2018-02-08 发布日期:2019-01-02
  • 作者简介:李宗帅(1982-),男,山东德州,硕士,讲师,研究方向为人工智能、自动化、自动控制。
  • 基金资助:
    国家自然科学基金(61403282), 天津市高等学校科技发展基金(20130807)

An Autonomous Cognitive Model Simulating Basal Ganglia Mechanism

Li Zongshuai1, Chen Jing2   

  1. 1.School of electronic information and automation, Civil Aviation University of China, Tianjin 300300, China;
    2.School of information technology engineering, Tianjin University of Technology and Education, Tianjin 300222, China
  • Received:2016-05-11 Online:2018-02-08 Published:2019-01-02

摘要: 针对智能体自主认知问题,采用适者生存WTA学习机制,利用基底神经节中的皮质-纹状体突触修饰机理,基于操作学习原理提出了基底神经节的自主认知模型,该模型适用于有限行为的认知学习,应用该仿生学习模型对Skinner的鸽子实验进行了模拟,模拟了Skinner鸽的渐进自适应学习过程,仿真结果表明本文所提出的行为认知模型是有效的。将该认知模型用于自平衡机器人的自主平衡学习中,在未知机器人数学模型的前提下通过模型中的操作学习达到自平衡学习的目的,为智能体仿生认知模型的研究提供了参考。

关键词: 操作学习模型, 基底神经节, 认知模型, 机器鸽, 自平衡机器人

Abstract: Aiming at autonomous cognition problem, applying the winner-takes-all(WTA) learning mechanism, using cortical-striatal synaptic modification principle in basal ganglia, as well as based on the operant conditioning reflex theory, the basal ganglia autonomous cognitive model is established, which is suitable for the cognitive learning with limited actions. Skinner's pigeons experiment was simulated by applying this bionic learning model, which showes a gradual process of adaptive learning. The simulation results reflect that the proposed cognitive model is effective and can be used in the balance learning for a self-balancing robot. In the premise of unknown robot mathematical model, the purpose of self-balancing learning is achieved through the operant learning in the proposed model. This research provides a reference for agent's bionic cognitive model.

Key words: operant learning model, basal ganglia, cognitive model, robotic pigeon, self-balancing robot

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