2013
DOI: 10.1109/jsee.2013.00111
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Immune multi-agent model using vaccine for cooperative air-defense system of systems for surface warship formation based on danger theory

Abstract: Aiming at the problem on cooperative air-defense of surface warship formation, this paper maps the cooperative airdefense system of systems (SoS) for surface warship formation (CASoSSWF) to the biological immune system (BIS) according to the similarity of the defense mechanism and characteristics between the CASoSSWF and the BIS, and then designs the models of components and the architecture for a monitoring agent, a regulating agent, a killer agent, a pre-warning agent and a communicating agent by making use … Show more

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Cited by 7 publications
(3 citation statements)
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References 29 publications
(33 reference statements)
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“…On the basis of depth analysis of the main factors affecting the air defense operations of missile mixed groups, Liu [4] and Wang [5] aimed at the combat effectiveness assessment of the ground-air missile mixed group, applying BP neural network technology to establish the air defense combat effectiveness evaluation index system and effectiveness evaluation model, and evaluated the combat effectiveness of the ground-air missile mixed group. In the literature, Wang [6], Chang [7] and James [8] solve the problem of insufficient speed of the optimal algorithm of allocation strategy in large-scale scenes through combining deep reinforcement learning with it and intelligently solving the problem of large-scale air defense task allocation. In the references, aiming at the problems of multiple and complex weapon target allocation constraints in current air defense operations, the traditional model cannot truly reflect the war process, and model credibility is low; a weapon target optimization allocation model based on multi-agent system theory is proposed and solved by using an improved and accelerated gradient descent algorithm.…”
Section: Introductionmentioning
confidence: 99%
“…On the basis of depth analysis of the main factors affecting the air defense operations of missile mixed groups, Liu [4] and Wang [5] aimed at the combat effectiveness assessment of the ground-air missile mixed group, applying BP neural network technology to establish the air defense combat effectiveness evaluation index system and effectiveness evaluation model, and evaluated the combat effectiveness of the ground-air missile mixed group. In the literature, Wang [6], Chang [7] and James [8] solve the problem of insufficient speed of the optimal algorithm of allocation strategy in large-scale scenes through combining deep reinforcement learning with it and intelligently solving the problem of large-scale air defense task allocation. In the references, aiming at the problems of multiple and complex weapon target allocation constraints in current air defense operations, the traditional model cannot truly reflect the war process, and model credibility is low; a weapon target optimization allocation model based on multi-agent system theory is proposed and solved by using an improved and accelerated gradient descent algorithm.…”
Section: Introductionmentioning
confidence: 99%
“…Inspired by the better performance of immune mechanisms in managing many complex system, Wang et al [26] exploited a coordinated model-inspired by Self/Non-Self defense mechanism, but it is a concept-model without mathematical and experimental verification. Whitbrook et al [27] developed an immune network integrated reinforcing learning for incorporation into behavior-based multi-agent system.…”
Section: Introductionmentioning
confidence: 99%
“…As for the naval gun system these days, more and more defense missions were arranged by the operational headquarters. For preventing the assault from enemy, and establishing a comprehensive defense system [4] [5] [6] , the naval force has to be the first defense system combating with enemy.…”
Section: Introductionmentioning
confidence: 99%