Intelligent robot and learning method thereof

A technology of intelligent robots and learning methods, applied in machine learning, neural learning methods, instruments, etc., can solve problems such as insufficient ability to deal with complex tasks, and achieve the effect of solving problems in complex fields

Pending Publication Date: 2022-03-01
朱宝
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The present invention aims to solve the existing problems of current artificial intelligence such as language, emotion, and insufficient ability to deal with complex tasks, so as to obtain an artificial intelligence robot that can understand and use language, has emotion, and can deal with problems in some complex fields
[0005] The intelligent robot of the embodiment of the present invention drives the brain model to learn based on the mental model of the agent itself, and allows the mental model of the agent to be updated in the evolution of the group, so that the robot can solve complex domain problems

Method used

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  • Intelligent robot and learning method thereof
  • Intelligent robot and learning method thereof
  • Intelligent robot and learning method thereof

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Embodiment Construction

[0017] In traditional intensive learning, the entire strengthening learning system generally includes a smart body, state (state), reward / penal, action (Action) and an external environment (ENVIONMENT).

[0018] Specifically, the intelligent body is the core of the entire strengthening learning system. According to the Reward provided by the external environment, learning a series of environmental status (state) to action (state) map, the principle of action selection is the maximizing future accumulation The probability of Reward. The selected action not only affects the Reward of the current time, but also affects the next moment and even the future Rew, so the basic rules in the learning process are: If an action brings a reward, it is awarded, then This Action will be strengthened, and it will gradually weaken.

[0019] Status (state), refers to the environmental information of the intelligent body, contains all the information used to perform Action selection.

[0020] Rewa...

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Abstract

The invention discloses an intelligent robot and a learning method thereof, and the intelligent robot comprises an intelligent agent, and the intelligent agent comprises a brain model which is used for obtaining a first interaction message, and a state fed back by an external environment and the intelligent agent, and outputting an action and/or a second interaction message according to the state and/or the first interaction message, obtaining a new first interaction message, and/or enabling the external environment to adjust the state according to the action; the heart model is used for outputting a return according to at least one of the state and the first interaction message; the updating module is used for updating the brain model according to the return so as to realize intelligent agent learning; and the heart model is also used for carrying out evolutionary learning and updating the brain model by utilizing the evolutionary heart model so as to obtain a heart model and a meninx type which are suitable for the environment. According to the intelligent robot, the brain model is driven to learn based on the heart model of the intelligent agent, and the heart model of the intelligent agent is updated in group evolution, so that the intelligent robot can solve problems in complex fields.

Description

Technical field [0001] The present invention relates to the field of artificial intelligence, and specific relates to a smart robot and its learning methods. Background technique [0002] In recent years, artificial intelligence has developed rapidly, smart robots, such as Apple Siri, Microsoft, and other chat robots began to enter people's vision. Alphago also wins in the Go's player. But existing artificial intelligence technologies have many difficulties in addressing the tasks involving human natural language, emotions, and not easily defined areas, so existing artificial intelligence is well known as weak artificial intelligence. Inventive content [0003] The present invention aims to solve the problem of current artificial intelligence of language, emotion, and respond to complex task capabilities, to obtain artificial intelligence robots that can understand and use language, emotional, and to meet some complex field problems. [0004] To achieve the above object, the fir...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N20/00G06N3/04G06N3/12
CPCG06N20/00G06N3/126G06N3/045G06N3/04G06N3/12G06N3/08
Inventor 朱宝
Owner 朱宝
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