A distributed multi-agent collaborative decision-making method based on an attention mechanism

A decision-making method and attention technology, applied in biological neural network models, data processing applications, resources, etc., can solve problems such as termination of information exchange, lack of dynamic programming capabilities, and failure to get rid of chain topology or ring topology. To achieve the effect of rich information

Active Publication Date: 2019-05-07
INFORMATION SCI RES INST OF CETC
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Problems solved by technology

However, BiCNet's organizational structure idea still does not get rid of the chain topology or ring topology, and does not have dynamic programming capabilities, which will cause great problems in actual practice
In the context of real tactics of mutual destruction, the destruction of a point in the network without dynamic programming capabilities will cause the complete termination of all information exchanges passing through that point
Under the premise of no recovery, the chain topology and ring to

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  • A distributed multi-agent collaborative decision-making method based on an attention mechanism
  • A distributed multi-agent collaborative decision-making method based on an attention mechanism
  • A distributed multi-agent collaborative decision-making method based on an attention mechanism

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[0037] The present invention 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 the present invention, but not to limit the present invention. In addition, it should be noted that, for the convenience of description, only some structures related to the present invention are shown in the drawings but not all structures.

[0038] The invention lies in: based on the attention mechanism, the distributed multi-agent observation information is fused, and it is coded and fused with the single-agent id to form a decision-making feature, which provides rich and effective information for the final decision-making, and provides a decision-making level.

[0039] Specifically, see figure 1 , showing the flow chart of the distributed multi-agent collaborative decision-making method based on the attention mechanism, figure 2 , which shows a sc...

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Abstract

The invention discloses a distributed multi-agent collaborative decision-making method based on an attention mechanism. the distributed multi-agent observation information is fused based on an attention mechanism; The method comprises a local observation information coding step, an attention mechanism-based weight calculation step, an attention coefficient calculation step, a local observation information weighted summation step, an attention information and position information fusion step and a decision probability solving step. On the basis of a data driving mode, the mutual relation of local information is discovered autonomously, global decision information is constructed for a single agent, position information is processed independently, and a multi-agent system of which the information is richer and the spatial position relation is processed in a targeted manner can be realized.

Description

technical field [0001] The invention relates to the field of intelligent decision-making, specifically, a distributed multi-agent collaborative decision-making method based on an attention mechanism, which fuses the observation information of distributed multi-agents and combines it with the id of a single agent Coding fusion forms decision-making features, provides rich and effective information for final decision-making, and provides decision-making level. Background technique [0002] A multi-agent system is a system composed of computing units—agents that cooperate with each other. Agent collaboration is to organize multiple single-agents into a group and make each agent coordinate and cooperate effectively, so as to generate the overall problem-solving ability. There are two types of multi-agent systems: centralized and distributed. A centralized system consists of a core Agent and multiple independent cooperative Agents that are structurally dispersed. The core Agen...

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Application Information

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IPC IPC(8): G06Q10/06G06N3/04
Inventor 李明强陈思高放张峰
Owner INFORMATION SCI RES INST OF CETC
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