Artificial Immune Systems in the Context of Autonomic Computing: Integrating Design Paradigms
Cabri, G. (2014). Artificial Immune Systems in the Context of Autonomic Computing: Integrating Design Paradigms. In: (Ed.) Proceedings of GECCO 2014 Companion (Genetic and Evolutionary Computation Conference), , () ( ed.). (pp. ). : . .
We describe a design paradigm for developing autonomic computing systems based on an analogy with the natural immune system, and show how current approaches to de- signing autonomic systems could be enriched by considering alternative design processes based on cognitive immune net- works.
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The Bio-Inspired Algorithms group within the Centre for Algorithms, Visualisation and Evolving Systems is a large and thriving group with interests in nature-inspired computing that include Evolutionary Computing, Hyper-Heuristics, Artificial Immune Systems and Swarm Intelligence.