The problem of representation is the most kernel and most key problem in artificial intelligence. The hy-pothesis of inconsequence of the lower order structure is our traditional choice, and use standing instead of st...The problem of representation is the most kernel and most key problem in artificial intelligence. The hy-pothesis of inconsequence of the lower order structure is our traditional choice, and use standing instead of standingfor to implement representation. Stemming from computational cognitive neuroscience, thus based on neuron infor-mation processing, massive representation by neural network and cognitive behaviors' dynamics model of neural sys-tem, this research aims to build a common and consistent groundwork within neuroscience to explain kinds of intelli-gent behaviors, and fuse indormation, system and processing procedure together fluently. This research is great sig-nificant for the structure simulation method of AI and the probe of intelligence's neural mechanism.展开更多
文摘The problem of representation is the most kernel and most key problem in artificial intelligence. The hy-pothesis of inconsequence of the lower order structure is our traditional choice, and use standing instead of standingfor to implement representation. Stemming from computational cognitive neuroscience, thus based on neuron infor-mation processing, massive representation by neural network and cognitive behaviors' dynamics model of neural sys-tem, this research aims to build a common and consistent groundwork within neuroscience to explain kinds of intelli-gent behaviors, and fuse indormation, system and processing procedure together fluently. This research is great sig-nificant for the structure simulation method of AI and the probe of intelligence's neural mechanism.
