Learning using an artificial immune system
Journal of Network and Computer Applications - Special issue on intelligent systems: design and applications. Part 2
Principles of a computer immune system
NSPW '97 Proceedings of the 1997 workshop on New security paradigms
Artificial Immune Systems: A New Computational Intelligence Paradigm
Artificial Immune Systems: A New Computational Intelligence Paradigm
Architecture for an Artificial Immune System
Evolutionary Computation
Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations
Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations
Cooperation in Evolving Social Networks
Management Science
Special Issue on Control and Optimization in Cooperative Networks
SIAM Journal on Control and Optimization
Cooperative control and potential games
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An immunity-based distributed multiagent-control framework
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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This paper presents a cooperative control framework developed based on the inspiration from the immune system for controlling networked multi-agent systems. The framework is inspired from the meta-dynamics of lymphocyte repertoires in the adaptive immune system, including the continual circulation, continual turnover, concentration control and other relevant mechanisms. We design this framework for the control of a team of autonomous defending agents in RoboFlag Drill, a test-bed for studying cooperative systems. Simulation results are presented to demonstrate the effectiveness of the proposed immunity inspired cooperative control framework. The results of the simulations demonstrated that a set of defenders- can intercept attacker sets with larger set sizes from entering a specific Defense Zone for 60% of the randomly generated RoboFlag Drill problem instances.