Design and research of underwater multi-agent cooperative getting-to-the-firing-position decision-making algorithm based on MoZi platform
[Objectives]This study focuses on the multi-agent cooperative getting-to-the-firing-position de-cision-making algorithm design of underwater battlefields based on the MoZi platform,and explores the com-bat application of underwater unmanned platforms.[Methods]A design idea based on the MoZi platform is proposed.For action decision-making under deterministic rules,the design of knowledge graph modules is dis-cussed.The Neo4J database is used to build a global knowledge database,and a data exchange interface is de-signed to provide the auxiliary decision information input of deterministic rules for the intelligent algorithm module.For action decision-making under uncertain and incomplete information,the design of a cooperative space occupying a decision-making algorithm based on MADDPG is discussed under the set scenario,and the design concept of a state space,action space,reward function and interaction with the knowledge graph mod-ule is put forward.[Results]The overall design of the algorithm framework is completed on the basis of the abovementioned ideas.The integration of the knowledge graph and intelligent algorithm is realized on the MoZi platform,and the effectiveness of the integration of behavior constraints under deterministic rules and the intelligent algorithm for processing uncertain situation information is further verified through the visualiza-tion provided by the platform.[Conclusions]This paper can provide valuable references for the design of multi-agent underwater getting-to-the-firing-position cooperative algorithms.
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