Artificial Intelligence

   

A New Neural Network for Artificial General Intelligence

Authors: Haisong Liang

Since artificial intelligence was first introduced several decades ago, neural network has achieved remarkable results as one of the most important research methods, and variety of neural network models have been proposed. Usually, for a specific task, we train the network with large amounts of data to develop a mathematical model, making the model produce the expected outputs according to inputs, which also results in the black box problem. In this case, if we study from the perspective of information meanings and their causal relations with the following measures: denote information by neurons; store their relations with links; give neurons a state indicating the strength of information, which can be updated by a state function or input signal; then we can store different information and their relations and control related information's expression with neurons' state. The neural network will become a dynamic system then. More importantly, we can denote different information and logic by designing the topology of neural network and the attributes of the links, and thus having the ability to design and explain every detail of the network precisely, turning neural network into a general information storage, expression, control and processing system, which is also commonly referred as "Strong AI".

Comments: 44 Pages. Include both English and Chinese version.

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Submission history

[v1] 2018-04-02 03:54:11

Unique-IP document downloads: 31 times

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