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Role-based multi-agent task coordination system

A technology of multi-agent and intelligent body, applied in the field of role-based multi-agent task cooperation system, can solve the problem of low robustness of multi-agent task cooperation system, and achieve the effect of improving the robustness

Pending Publication Date: 2021-02-19
INST OF AUTOMATION CHINESE ACAD OF SCI +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In order to solve the above problems in the prior art, that is, in order to solve the problem of low robustness of the existing multi-agent task cooperation system, the present invention proposes a role-based multi-agent task cooperative scheduling system, including a first unit , the second unit, the third unit;

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Embodiment Construction

[0031] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the described embodiments are part of the embodiments of the present invention, rather than Full examples. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0032] The application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain related inventions, rather than to limit the invention. It should also be noted that, for the convenience of description, only the parts related to the related invention...

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Abstract

The invention belongs to the field of multi-agent scheduling, particularly relates to a role-based multi-agent task cooperation system, and aims to solve the problem of low robustness of an existing multi-agent task cooperation system. The system comprises a first unit, a second unit and a third unit, the first unit is configured to split the input task into a group of sub-tasks, establish an organization relationship among the sub-tasks based on the behavior tree, obtain a task decomposition strategy and construct a sub-task tree, the second unit is configured to perform role allocation of the sub-tasks according to the sub-task tree based on a preset role task mapping relationship and an allocation algorithm to obtain a role allocation strategy, and the third unit is configured to configure the role after task configuration to the agent based on a preset agent role relationship and a distribution algorithm, and output an agent scheduling strategy. According to the invention, task modeling and role allocation in a complex environment are realized, and the robustness of the multi-agent task cooperation system is improved.

Description

technical field [0001] The invention belongs to the field of multi-agent scheduling, and in particular relates to a role-based multi-agent task coordination system. Background technique [0002] Actors are not used in common multi-agent architectures today. Existing research work often defines role as a concept that only occurs in the analysis phase, and roles abstracted from use cases are often used to conceptualize and understand the system. They are not implemented in the implemented system after the analysis phase. In most cases, all roles are atomic structures and cannot be defined in terms of other roles. But in the heterogeneous system, in the dynamic unknown environment, in order to realize the dynamic allocation of tasks and improve the robustness of the cluster system, the design and implementation of the role layer will play a key role. Therefore, the framework of the role-based task collaboration system proposed by the present invention is of great significanc...

Claims

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Application Information

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IPC IPC(8): G06Q10/06
CPCG06Q10/06311
Inventor 陈琳武利娟刘尚卿段旭磊其他发明人请求不公开姓名
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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