Over the last decade, the field of immunological computation has progressed slowly and steadily as a branch of computational intelligence. Immunological Computation: Theory and Applications presents up-to-date immunity-based computational techniques. After a brief review of fundamental immunology concepts, the book presents computational models based on the negative selection process that occurs in the thymus. It then examines immune networks, including continuous and discrete immune network models, clonal selection, hybrid models, and computational models based on danger theory. The book also discusses real-world applications for all of the models covered in each chapter.
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