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《高技术通讯(英文版)》2016,(4):395-403
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 vis-ual 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 imple-mented by the ABGP with the CNN awareness module reaches the excellent performance of recogniz-ing 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 demon-strates that an agent can independently plan its path in terms of the natural scenes . 相似文献
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