Battle Simulation Study on Multi-Agent Weapon System-of-Systems Based on Multi-Resolution

doi:10.16182/j.issn1004731x.joss.201701019

Abstract

Abstract: A model based on Multi-Resolution modeling technology with multi-Agent theory was put forward since the problem of the decision and cooperation of traditional multi-Agent system is too complicated in the field of battle simulation of weapon SOS. The tactic-level cooperation missions based on OA circle(observation-Action )was given to the high-Resolution Agents and the strategy-level decision missions based on reinforcement learning was given to the low-Resolution Agents. Besides, the class structure of high-Resolution Agent and Aggregation Agent based on the Agent oriented programming(AOP) was designed. At last, the ideas were validated through battle simulation for Weapon SOS based on Java language.

Key words: Agent, weapon system-of-systems, battle simulation, Multi-Resolution technology, Q-learning

CLC Number:

TP391

Yan Xuefei, Li Xinming, Liu Dong, Li Kang. Battle Simulation Study on Multi-Agent Weapon System-of-Systems Based on Multi-Resolution[J]. Journal of System Simulation, 2017, 29(1): 136-143.

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