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Titlebook: Evolvable Hardware; From Practice to App Martin A. Trefzer,Andy M. Tyrrell Textbook 2015 Springer-Verlag Berlin Heidelberg 2015 Adaptive ha

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Donna D. Mitroff,Ian I. Mitroffoped (von Neumann, 1956). No matter how much care is taken designing and building an electronic system, sooner or later an individual component or device will fail. For systems operating in remote environments, such as satellite applications, the effect of a single failure could result in a multi-mi
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The Future of Arenas of Fabrication,nt of information that is encoded in the deoxyribonucleic acid (DNA) of a single cell. Once development is initiated, a complex process of gene activity and regulation takes place that triggers a series of cell actions which, over time, create complex, multicellular organisms (Wolpert et al, 2002).
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https://doi.org/10.1007/978-3-642-17782-8offer a number of advantages when solving problems in this domain. For instance, unlike decision trees and neural-network-based approaches, they are not tied to particular solution representations. This flexibility is important for problems where the aim is to model specific biological or pathologic
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Welding and Joining of Shape Memory Alloys,and engineers. However, whilst neuroscientists are interested in biophysical models (Trappenberg, 2009), computer scientists and engineers are more interested in the brain’s powerful signal-processing capability (Paugam-Moisy and Bohte, 2012), which is able to perform extraordinary computational fea
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Fabrication and Characterization Methods,onary robotics has, to date, been concerned with evolving a robot’s control system. The robot’s control system is normally expressed entirely in software: it may be a program, or weights in an artificial neural network (ANN). Then the instantiation of a robot from its genome typically requires only
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