The Design of Natural and Artificial Adaptive Systems

The design of adaptive systems will be among the key research problems of the 21st century. This new field is emerging from several distinct lines of work. • Modern immunology is based on the theory of clonal selection and adaptive immunity. The remarkable recognition abilities of the vertebrate immune system depend on the programmed mechanisms of antibody variation and selection that occur within each individual. • The design of intelligent computer systems and robots depends on a balance between adaptive improvement by exploration and efficient exploitation of known solutions. Many of the current computer implementations use evolutionary algorithms to achieve adaptation to novel or changing environments. • The adaptive response of genetic systems to environmental challenge depends strongly on the tempo and mode of sex and recombination. Sexual systems vary widely in nature. Which processes have shaped this variation is a major puzzle in evolutionary biology. • Wiring a brain during development and using that brain to learn are great problems of information management. Recent studies in neuroscience suggest that programmed mechanisms of stochastic variation and controlled selection guide neural development and learning. If true, then nature has solved these informational problems by using somatic adaptive systems that are programmed to work in the same way as natural selection. What do these different fields have in common? Will there be a new science of adaptation shared by biology and engineering? Can a unified theory guide the study of so many different phenomena? What will be the central tenets of such a theory?

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