Title :
Immune multi-agent model of cooperative air-defense system of system for surface warship formation based on neuroendocrine system
Author :
Jun Wang ; Xiaozhe Zhao ; Yabin Kan ; Binbin Lin ; Fei Wang
Author_Institution :
Sch. of Electron. & Inf., Northwestern Polytech. Univ., Xi´an, China
Abstract :
Inspired the principle of the neuroendocrine-immune system (NEIS) defense and the theory and method of the multi-agent system (MAS), this paper analyzed the comparability on the defense mechanism and adaptability and self-organization between the cooperative air-defense system of systems for surface warship formation (CASoSSWF) and the NEIS, mapped the CASoSSWF to the NEIS, moreover designed the new function structure model of neuroendocrine-immune agents of the CASoSSWF, which included a neural agent, an endocrine agent and a new immune agent. Based on above study, the novel neuroendocrine-immune multi-agent network (NEI-MAN) model was improved and was formalized, and the model defense mechanism was analyzed. The model exploits an original idea for the cooperative air-defense system of systems for surface warship formation, and can be used for reference to study on a theoretical model for modern naval combat simulation system.
Keywords :
artificial immune systems; digital simulation; military computing; military vehicles; multi-agent systems; ships; CASoSSWF; MAS; NEI-MAN; NEIS; cooperative air-defense system of systems for surface warship formation; modern naval combat simulation system; neuroendocrine-immune multiagent network model; neuroendocrine-immune system defense; Adaptation models; Atmospheric modeling; Biological system modeling; Command and control systems; Immune system; Multi-agent systems; Cooperative air-defense system of systems (CASoS); Neuroendocrine System; Neuroendocrine-immune multi-agent network (NEIMAN) model; Surface warship formation;
Conference_Titel :
Information Science, Electronics and Electrical Engineering (ISEEE), 2014 International Conference on
Conference_Location :
Sapporo
Print_ISBN :
978-1-4799-3196-5
DOI :
10.1109/InfoSEEE.2014.6946281