Acta Armamentarii

Figure/Table detail

Dynamic Prediction Model Based on Multi-level LSTM Network for Multi-agent Attack and Defense Effectiveness

DINGWei;MINGZhenjun;WANGGuoxin;YANYan

Acta Armamentarii, 2023, 44(1): 176-192. DOI: 10.12382/bgxb.2022.0192

效用部分		效用参数
总效用U	自我效用U₁	参与范围P_r
		参与数量P_n
		参与时长P_t
	协同效用U₂	合作范围C_r
		合作范围内的智能体数量C_n
		合作时长C_t
		竞争范围B_r
		竞争范围内的智能体数量B_n
		竞争时长B_t

Table 2 The utility part of multi-agent attack and defense process

Other figure/table from this article

Fig.1 Multi-level characteristics of the established model
Fig.2 Temporal and quantitative characteristics of the established model
Fig.3 Overall framework of MAAD based on bottom-up emergence
Fig.4 Operational process of MAAD based on OODA loop
Fig.5 Dynamic environment of MAAD reconstructed using NetLogo platform
Table 1 Decision-making parameters concerning the attack and defense of agents
Fig.7 Schematic diagram of attack and defense population structure drawn by AutoCAD
Fig.8 Structure of LSTM networks
Table 5 Parameter settings of the model
Fig.6 Multi-agent distribution diagram for explaining the population structure parameters
Fig.9 Correlation logic and mapping relationship between multiple levels of MAAD
Fig.10 Data storage method of multi-level LSTM networks
Fig.11 Training prediction process of multi-level LSTM networks
Fig.12 Middle-value change of multi-level LSTM networks
Fig.13 Simulation of the attack and defense of red and blue agents using NetLogo platform
Table 3 Initialization of decision-making parameters in the N-th simulation
Table 4 Parameters concerning population structure and operational effectiveness of the MAAD in the N-th simulation
Fig.14 Data preprocessing: dividing the training data into mini-size batches
Table 6 Comparison between the tested and predicted output concerning operational effectiveness parameters
Table 7 Distribution of absolute errors concerning operational effectiveness parameters using frequency distribution histograms
Table 9 Comparison of performance indicators using different methods
Table 10 Comparison of the prediction results of 40 testing sets
Table 8 MRE of operational effectiveness parameters %

模态框（Modal）标题

Figure/Table detail