A visual awareness pathway in cognitive model ABGP  

作　　者：马刚 Yang Xi Lu Chengxiang Zhang Bo Shi Zhongzhi 

机构地区：[1]The Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, P. R. China [2]University of Chinese Academy of Sciences, Beijing 100190, P. R. China

出　　处：《High Technology Letters》2016年第4期395-403,共9页高技术通讯（英文版）

基　　金：Supported by the National Basic Research Program of China(No.2013CB329502);the National Natural Science Foundation of China(No.61035003,61202212); the National Science and Technology Support Program(No.2012BA107B02)

摘　　要：The cognitive model ABGP is a special model for agents,which consists of awareness,beliefs,goals and plans. The ABGP agents obtain the knowledge directly from the natural scenes only through some single preestablished rules like most agent architectures. Inspired by the biological visual cortex( V1) and the higher brain areas perceiving the visual feature,deep convolution neural networks( CNN) are introduced as a visual pathway into ABGP to build a novel visual awareness module. Then a rat-robot maze search simulation platform is constructed to validate that CNN can be used for the awareness module of ABGP. According to the simulation results,the rat-robot implemented by the ABGP with the CNN awareness module reaches the excellent performance of recognizing guideposts,which directly enhances the capability of the communication between the agent and the natural scenes and improves the ability to recognize the real world,which successfully demonstrates that an agent can independently plan its path in terms of the natural scenes.The cognitive model ABGP is a special model for agents,which consists of awareness,beliefs,goals and plans. The ABGP agents obtain the knowledge directly from the natural scenes only through some single preestablished rules like most agent architectures. Inspired by the biological visual cortex（ V1） and the higher brain areas perceiving the visual feature,deep convolution neural networks（ CNN） are introduced as a visual pathway into ABGP to build a novel visual awareness module. Then a rat-robot maze search simulation platform is constructed to validate that CNN can be used for the awareness module of ABGP. According to the simulation results,the rat-robot implemented by the ABGP with the CNN awareness module reaches the excellent performance of recognizing guideposts,which directly enhances the capability of the communication between the agent and the natural scenes and improves the ability to recognize the real world,which successfully demonstrates that an agent can independently plan its path in terms of the natural scenes.

关 键 词：ABGP visual cortex(V1) convolution neural networks(CNN) AWARENESS visual pathway 

分 类 号：TP242[自动化与计算机技术—检测技术与自动化装置] TP183[自动化与计算机技术—控制科学与工程]