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Method for realizing general artificial intelligence

A data and machine technology, applied in the field of general artificial intelligence, can solve problems such as no learning method

Active Publication Date: 2020-08-18
陈永聪
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These all show that the machine learning method proposed by the present application is very different from the existing machine learning methods in the industry. At present, there is no learning method similar to the application of the present invention in the industry.

Method used

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  • Method for realizing general artificial intelligence
  • Method for realizing general artificial intelligence
  • Method for realizing general artificial intelligence

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Embodiment Construction

[0131] The application of the present invention will be further elaborated below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the text of this application mainly proposes new methods for realizing general artificial intelligence and the main steps for realizing these methods. In these main steps, each step can be realized by adopting currently known structures and technical methods. Therefore, the focus of the application of the present invention is to explain these new methods and implementation steps, rather than being limited to the specific details of implementing the main steps by using known technologies. Therefore, these descriptions of embodiments are only exemplary, and are not intended to limit the scope of the text of this application. In the following description, in order to avoid unnecessarily obscuring the focus of the application text, we omit descriptions of known structures and technologies. All other ...

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Abstract

The invention discloses a method for realizing general artificial intelligence. According to the method, only the similarity relation, the time relation and the space relation between the things needto be extracted, and a relation network between the things can be established under the optimization of a memory and forgetting mechanism. Information such as instinctive motivation, income and loss evaluation is also used as input information and is kept in memory. A machine only needs to arrange relations in memory, reorganize the memory by using the relations, select responses by using an income and loss evaluation system, and realize the responses through simulation, so that general artificial intelligence similar to human beings can be established.

Description

technical field [0001] The application of the present invention relates to the field of artificial intelligence, in particular to a method for realizing general artificial intelligence. Background technique [0002] At present, artificial intelligence is still in the stage of special artificial intelligence. Such artificial intelligence can only be applied in a single field, and it is difficult to apply the learned skills to various scenarios, nor can it produce general intelligence similar to human beings. There is a huge difference between the current training and response process of artificial intelligence and the human learning, thinking and decision-making process. For example, in deep learning, the multi-layer mapping with the smallest error is found by optimizing the coefficients. The features of the middle layer are randomly selected by the machine, constrained by an error function. In order to ensure that the machine can select reasonable middle-level features, a...

Claims

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Application Information

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IPC IPC(8): G06N3/04G06N3/08G06K9/62
CPCG06N3/084G06N3/045G06F18/241
Inventor 陈永聪曾婷其他发明人请求不公开姓名
Owner 陈永聪
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