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Cellular nonlinear networks are naturally inspired computing architectures where complex dynamic behaviors may emerge as a result of the local or prescribed connectivity among simple cells. Functionally, much like in biology, each cell is defined by a few bits of information called a gene. Such systems may be used in signal processing applications (intelligent sensors) or may be used to model and understand natural systems. While many publications focus on the dynamics in cellular automata and various applications, less deal with an important problem, that of designing for emergence. Put in simple words: How to choose a cell such that a desired behavior will occur in the cellular system. This book proposes a systematic framework for measuring emergence and a systematic design method to locate computationally meaningful genes in a reasonable computing time. Programs and application examples are provided so that the reader may easily understand the new concepts and develop her own specific experiments. An accessible language recommends it to a large audience including specialists from various interdisciplinary fields who may benefit from a better understanding of emergence and its applications to their specific field.

Computer network architectures --- Réseaux d'ordinateurs --- Architectures --- Applied Mathematics --- Telecommunications --- Civil Engineering --- Engineering & Applied Sciences --- Electrical & Computer Engineering --- Civil & Environmental Engineering --- Cellular automata. --- Signal processing. --- Natural computation. --- Biologically-inspired computing --- Bio-inspired computing --- Natural computing --- Processing, Signal --- Computers, Iterative circuit --- Iterative circuit computers --- Structures, Tessellation (Automata) --- Tessellation structures (Automata) --- Computer science. --- Artificial intelligence. --- Applied mathematics. --- Engineering mathematics. --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Appl.Mathematics/Computational Methods of Engineering. --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Informatics --- Science --- Engineering --- Engineering analysis --- Mathematical analysis --- Mathematics --- Information measurement --- Signal theory (Telecommunication) --- Parallel processing (Electronic computers) --- Pattern recognition systems --- Sequential machine theory --- Artificial Intelligence. --- Mathematical and Computational Engineering. --- Computer network architectures. --- Architectures, Computer network --- Network architectures, Computer --- Computer architecture