Intelligent ACP Based Experimental Approach

Authors

Bin Chen, 1. College of Information System and Management, National University of Defense Technology, Changsha 410073, China;;
Xiaogang Qiu, 1. College of Information System and Management, National University of Defense Technology, Changsha 410073, China;;
Yiping Wang, 2. The Naval Factory 902, Shanghai 200083, China;

Abstract

Abstract: As an approach to solve the problems in complex system research, ACP (Artificial Society, Computational Experiments, Parallel Execution) has played an important role in research fields such as public safety. With the development of information technologies such as big data, intelligent learning, game play theory, an intelligent ACP based experimental approach was proposed to solve the kernel problems in current complex system research. The possibility analysis of the approach in public safety, biological threats and joint combat experiments was illustrated. The applications including evacuation, network opinion and chemical industrial park security of the approach in safety science were given. As a result, the application and thinking of intelligent ACP based experimental approach in more research fields are needed in future work.

Recommended Citation

Chen, Bin; Qiu, Xiaogang; and Wang, Yiping (2020) "Intelligent ACP Based Experimental Approach," Journal of System Simulation: Vol. 29: Iss. 9, Article 25.
DOI: 10.16182/j.issn1004731x.joss.201709025
Available at: https://dc-china-simulation.researchcommons.org/journal/vol29/iss9/25

First Page

2064

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201709025

Last Page

2072

CLC

TP391.9

Recommended Citation

Chen Bin, Qiu Xiaogang, Wang Yiping. Intelligent ACP Based Experimental Approach[J]. Journal of System Simulation, 2017, 29(9): 2064-2072.

DOI

10.16182/j.issn1004731x.joss.201709025