Rule engine configuration method and device, server and readable storage medium

A configuration method and server technology, applied in the direction of instrument, program code conversion, calculation, etc., can solve the problem that the rule engine can only target a single business scenario and the update is not timely.

Active Publication Date: 2021-07-02
龙马智芯(珠海横琴)科技有限公司
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The embodiment of the present application provides a rule engine configuration method, device, server and readable storage medium, which

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  • Rule engine configuration method and device, server and readable storage medium
  • Rule engine configuration method and device, server and readable storage medium
  • Rule engine configuration method and device, server and readable storage medium

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Embodiment Construction

[0035] In the following description, specific details such as specific system structures and technologies are presented for the purpose of illustration rather than limitation, so as to thoroughly understand the embodiments of the present application. It will be apparent, however, to one skilled in the art that the present application may be practiced in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present application with unnecessary detail.

[0036] It should be understood that when used in this specification and the appended claims, the term "comprising" indicates the presence of described features, integers, steps, operations, elements and / or components, but does not exclude one or more other Presence or addition of features, wholes, steps, operations, elements, components and / or collections thereof.

[0037] It should...

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Abstract

The invention is suitable for the technical field of artificial intelligence, and particularly relates to a rule engine configuration method and device, a server and a readable storage medium, wherein the method comprises the steps: obtaining a business file, and triggering a configuration process; in response to the configuration process, extracting parameter information in the service class file; performing aggregation processing on the parameter information to obtain condition nodes and logic nodes; forming a behavior tree according to the condition nodes and the logic nodes: generating an editing instruction according to the behavior tree, sending the editing instruction to the user terminal, the editing instruction being used for instructing the user terminal to return a rule file to an expert system in the server; and generating a rule engine in the expert system according to the rule file returned by the user terminal. Therefore, in the embodiment of the invention, once other service scenes need to be converted or the rule engine needs to be updated, the rule can be directly changed again by a service analyst, the method can adapt to multiple service scenes, and in addition, the configuration process of the rule engine can also be updated in real time.

Description

technical field [0001] The present application belongs to the technical field of artificial intelligence, and in particular relates to a rule engine configuration method, device, server and readable storage medium. Background technique [0002] Expert system is a branch of artificial intelligence system. When the amount of data is not enough for machine learning and deep learning, business judgment and prediction must be realized through the rules in the expert system. At present, the rule engines in most expert systems require experts to inform developers of knowledge, and developers convert business logic into programming languages. However, on the one hand, the rule engine configured in the prior art can only target a single business scenario, and once other business scenarios need to be converted, the entire rule engine needs to be reconfigured, which greatly wastes human resources. On the other hand, the rule engine in the expert system in the prior art needs to be upd...

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Application Information

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IPC IPC(8): G06N5/02G06F8/41
CPCG06N5/025G06F8/427
Inventor 聂镭黄海聂颖
Owner 龙马智芯(珠海横琴)科技有限公司
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