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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Metamorphic Systems: A Schema for Adaptive Autonomous Systems several common features: (1) they must survive in harsh domains for extended time periods, (2) they must adapt their behaviour to accommodate changing circumstances and (3) they must operate autonomously, which means they must perform assigned tasks with little or no human intervention. For instanc

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Hierarchical Networks-on-Chip Architecture for Neuromorphic Hardwareand 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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Evolvable Robot Hardwareonary 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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Martin A. Trefzer,Andy M. TyrrellAuthors among the leading researchers and practitioners in this field.First part of the book is a comprehensive introduction to evolvable hardware.Second part of the book presents state-of-the-art app

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Tidious

https://doi.org/10.1007/978-94-009-8721-0versity at every level of biological organisation, including species, individual organisms and molecules such as DNA and proteins. Biological development involves the mechanisms that control the spatial distribution of different specialised types of cells and which lead to the different types of tis

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https://doi.org/10.1007/978-3-030-84426-4ity to change its structure and behaviour in order to automatically optimise its operation for a specific task or environment. Taking inspiration from biological organisms and natural evolution in order to create this kind of hardware system and develop appropriate optimisation methods and algorithm

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https://doi.org/10.1007/978-3-319-75901-2ompass many different combinations of Evolutionary and Biologically Inspired Algorithms with various physical devices (or simulations of physical devices). The field of Evolvable Hardware can be split into the two related areas of Evolvable Hardware Design (including optimisation) and Adaptive Hardw

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Palgrave Entertainment Industriesn (evolving) circuit or system in order to arrive at a solution that ultimately meets the design specifications. In order to be able to accurately assess performance it is necessary to accurately measure not only input/output characteristics, but also properties such as power consumption, resource c