Modeling and Analysis of Emergency Decision Making Based on Logical Probability GamePetri Net

To give play to the modeling advantages of the logical Petri net for batch processing and uncertainty of value transfer, this paper integralings the relevant game elements of multi-agent game process, excutes models for the multi-agent decision problem, solves the problem of multi-agent dynamic game...

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Bibliographic Details
Main Author: LI Qing, LIU Wei, GUAN Meng-zhen, DU Yu-yue, SUN Hong-wei
Format: Article
Language:zho
Published: Editorial office of Computer Science 2022-04-01
Series:Jisuanji kexue
Subjects:
Online Access:https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2022-49-4-294.pdf
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Summary:To give play to the modeling advantages of the logical Petri net for batch processing and uncertainty of value transfer, this paper integralings the relevant game elements of multi-agent game process, excutes models for the multi-agent decision problem, solves the problem of multi-agent dynamic game decision optimization and puts forward logic game decision Petri net.Above all, this paper defines the properties of each token as rational persons and its utility function values, and provide the definition of utility functions and state probability transfer function.Next, this paper introduces decision transition, determines the optimal decision transition as per the comparison of token utility function value as well as provides related algorithm.Finally, the modeling and analysis of the dynamic game decision process of emergency are carried out based on logical game decision Petri net, and the dynamic game process is analyzed based on the reachability graph constructed by reachability identification.The algorithm is described for the generation of reachability graph, and how to solve the dynamic game decision problem is discussed, thus the optimal emergency pre-arranged plan is generated and the resource conflict in the process of emergency is analyzed by the logic game decision model of emergency.On this basis, this paper verifies the effectiveness and superiority of the model in the analysis of the emergency decision process.
ISSN:1002-137X