Artificial immune systems are highly distributed systems based on the principles of the natural system. Like artificial neural networks, artificial immune systems can learn new information, recall previously learned information, and perform pattern recognition in a highly decentralized fashion.

An Overview of Artificial Immune Systems and Their Applications.- The Endogenous Double Plasticity of the Immune Network and the Inspiration to be Drawn for Engineering Artifacts.- Artificial Immune Systems: Modeling & Simulation.- The Central and the Peripheral Immune Systems: What is the Relationship?.- Immunology Viewed as the Study of an Autonomous Decentralized System.- Immune Network: An Example of Complex Adaptive Systems.- Immunological Memory is Associative.- Estimating and Predicting the Number of Free HIV and T Cells by Nonlinear Kalman Filter.- Modeling the Effects of Prior Infection on Vaccine Efficacy.- Artificial Immune Systems: Applications.- Jisys: The Development of an Artificial Immune System for Real World Applications.- Decentralized Behavior Arbitration Mechanism for Autonomous Mobile Robot Using Immune Network.- Parallel Search for Multi-Modal Function Optimization with Diversity and Learning of Immune Algorithm.- Immunized Adaptive Critic for an Autonomous Aircraft Control Application.- Blueprint for a Computer Immune System.- An Anomaly Detection Algorithm Inspired by the Immune System.- Immunity-Based Management System for a Semiconductor Production Line.- Indexed Bibliography.- Author Index.

Presents computational models of the immune system Insights on how to engineer massively parallel adaptive complex systems Overview of immunity-based methodologies and applications in solving difficult problems A pioneering work on the emerging field of artificial immune systems

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