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Agent-Based Architecture of Selection Principle in the Immune System

Based on some features of the immune system (the selection-based mechanism compatible with Edelman’s selectionist principle, self/nonself-reference and negative/positive selection), we proposed the immune algorithm. The algorithm proceeds in three steps: diversity generation, establishment of self-tolerance, and memorizing non-self. The algorithm may be used typically to deal with the system by distributed agents where the system (the self ) as well as the environment (the non-self) are unknown or cannot be modeled or difficult to treat even when modeled. Agent-based architecture is proposed with the application to adaptive system where the knowledge about environment is not available. Adaptive noise neutralizer is formalized and simulated for a simple plant.