Artificial Intelligence

    

Preliminary Concept of General Intelligent Network (Gin) for Brain-Like Intelligence

Authors: Chengkai Guo, Kai Yang

Preliminary concept of AGI for brain-like intelligence is presented in this paper. The solution is mainly in two aspects: firstly, we combine information entropy and generative network (GAN like) model to propose a paradigm of General Intelligent Network (GIN). In the GIN network, the original multimodal information can be encoded as low information entropy hidden state representations (HPPs), which can be reverse parsed by the contextually relevant generative network into observable information. Secondly,we propose a generalized machine learning operating system (GML system), which includes an observable processor (AOP), an HPP storage system, and a multimodal implicit sensing/execution network. Our code will be released at https://github.com/ggsonic/GIN

Comments: 9 Pages.

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[v1] 2022-01-26 03:38:42

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