Artificial intelligence terminal and behavior control method thereof

A technology of artificial intelligence and control methods, applied in the computer field, can solve problems such as not being considered and not meeting the requirements of user artificial intelligence, and achieve the effect of improving the accuracy of judgment

Active Publication Date: 2019-02-05
深圳市大富智慧健康科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The inventors of the present invention found that the existing artificial intelligence terminals are still in the stage of weak artificial intelligence, and most of them still rely on the user's control to perform corresponding actions. Behaviors, but these behaviors are often beneficial to themselves, regardless of the situation of other terminals. They are purely self-interested, which is contrary to human morality, and cannot meet the requirements of users for artificial intelligence.

Method used

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  • Artificial intelligence terminal and behavior control method thereof
  • Artificial intelligence terminal and behavior control method thereof
  • Artificial intelligence terminal and behavior control method thereof

Examples

Experimental program
Comparison scheme
Effect test

no. 1 example

[0029] Such as figure 1 As shown, the first embodiment of the behavior control method of the artificial intelligence terminal of the present invention includes:

[0030] S11: The artificial intelligence terminal receives execution instructions from other terminals.

[0031] Artificial intelligence terminals can be intelligent robots, self-driving vehicles (such as self-driving cars), or other terminals with data analysis and processing capabilities. Communication connection between other terminals and this terminal. Other terminals may be artificial intelligence terminals or non-intelligent terminals. The execution instructions may be given by other terminals themselves or from users, for example, other terminals receive instructions given by users from their input devices (touch screen, keyboard, microphone, camera, mouse, etc.).

[0032] S12: The artificial intelligence terminal calculates the cost overhead generated by executing instructions by itself.

[0033] The cost...

no. 4 example

[0069] Such as Figure 4 As shown, the fourth embodiment of the behavior control method of the artificial intelligence terminal of the present invention includes:

[0070] S21: the artificial intelligence terminal receives execution instructions from other terminals;

[0071] The main difference between this embodiment and the first embodiment of the behavior control method of an artificial intelligence terminal in the present invention is that it is judged whether to Execute the execution instruction, and the same / similar parts will not be repeated here.

[0072] S22: The artificial intelligence terminal calculates the cost overhead generated by executing instructions by itself.

[0073] S23: The artificial intelligence terminal judges whether the weighted cost expense is less than or equal to the weighted cost benefit of other terminals.

[0074] The weighted cost is the product of the weight of the artificial intelligence terminal and the cost, and the weighted cost-bene...

no. 8 example

[0132] Such as Figure 8 As shown, the eighth embodiment of the behavior control method of the artificial intelligence terminal of the present invention includes:

[0133] S31: The artificial intelligence terminal formulates an execution strategy.

[0134] The execution strategy may include instructions to be executed by the artificial intelligence terminal itself and / or instructions to be executed by several related other terminals, and the two kinds of instructions generally cooperate with each other.

[0135] Artificial intelligence terminals can be intelligent robots, self-driving vehicles (such as self-driving cars), or other terminals with data analysis and processing capabilities. Communication connection between other terminals and this terminal. Other terminals may be artificial intelligence terminals or non-intelligent terminals.

[0136] Still taking the self-driving car as an example, the artificial intelligence terminal is self-driving car C, and other terminal...

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Abstract

Disclosed is a behavior control method of an artificial intelligence terminal. The method comprises: an artificial intelligence terminal receiving an execution instruction from another terminal; the artificial intelligence terminal calculating a cost overhead incurred in executing the execution instruction itself; the artificial intelligence terminal determining whether a weighted cost overhead isless than or equal to a weighted cost / benefit of said another terminal, the weighted cost overhead being the product of a weight of the artificial intelligence terminal and the cost overhead, the weighted cost / benefit being the product of a weight and a cost / benefit to said another terminal, and the cost / benefit being generated when the execution instruction is executed by the artificial intelligence terminal for said another terminal; and if the weighted cost overhead is less than or equal to the weighted cost / benefit, the artificial intelligence terminal executing the execution instruction.Also disclosed are an artificial intelligence terminal and a computer storage medium.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to an artificial intelligence terminal and a behavior control method thereof. Background technique [0002] Artificial Intelligence (AI, Artificial Intelligence) is a new technical science that studies and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine that can respond in a manner similar to human intelligence. Research in this field includes robotics, language recognition, image recognition, natural language processing and expert systems, etc. Since the formal introduction of the subject of artificial intelligence in 1956, it has made great progress over the past 50 years and has become an extensive cross-cutting and cutting-edge science. Today...

Claims

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Application Information

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IPC IPC(8): G05D1/02
CPCG05D1/0217G05D1/02G06F30/00
Inventor 孙尚传
Owner 深圳市大富智慧健康科技有限公司
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