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Cartesian Genetic Programming (CGP) is a highly effective and increasingly popular form of genetic programming. It represents programs in the form of directed graphs, and a particular characteristic is that it has a highly redundant genotype–phenotype mapping, in that genes can be noncoding. It has spawned a number of new forms, each improving on the efficiency, among them modular, or embedded, CGP, and self-modifying CGP. It has been applied to many problems in both computer science and applied sciences.   This book contains chapters written by the leading figures in the development and application of CGP, and it will be essential reading for researchers in genetic programming and for engineers and scientists solving applications using these techniques. It will also be useful for advanced undergraduates and postgraduates seeking to understand and utilize a highly efficient form of genetic programming.  .

Computational Biology -- methods. --- Evolutionary programming (Computer science). --- Genetic programming (Computer science). --- Models, Genetic. --- Genetic programming (Computer science) --- Evolutionary programming (Computer science) --- Engineering & Applied Sciences --- Computer Science --- Computer science. --- Computers. --- Artificial intelligence. --- Application software. --- Computer-aided engineering. --- Electrical engineering. --- Computer Science. --- Theory of Computation. --- Electrical Engineering. --- Artificial Intelligence (incl. Robotics). --- Computer-Aided Engineering (CAD, CAE) and Design. --- Computer Appl. in Arts and Humanities. --- Electric engineering --- Engineering --- CAE --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- 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 --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Calculators --- Cyberspace --- Informatics --- Science --- Data processing --- Computer programming --- Genetic algorithms --- Information theory. --- Computer engineering. --- Computer aided design. --- Information systems. --- Artificial Intelligence. --- CAD (Computer-aided design) --- Computer-assisted design --- Computer-aided engineering --- Design --- Computers --- Communication theory --- Communication --- Design and construction --- Digital humanities. --- Electrical and Electronic Engineering. --- Digital Humanities. --- Humanities

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Biology has inspired electronics from the very beginning: the machines that we now call computers are deeply rooted in biological metaphors. Pioneers such as Alan Turing and John von Neumann openly declared their aim of creating arti?cial machines that could mimic some of the behaviors exhibited by natural organisms. Unfortunately, technology had not progressed enough to allow them to put their ideas into practice. The 1990s saw the introduction of programmable devices, both digital (FP- GAs) and analogue (FPAAs). These devices, by allowing the functionality and the structure of electronic devices to be easily altered, enabled researchers to endow circuits with some of the same versatility exhibited by biological entities and sparked a renaissance in the ?eld of bio-inspired electronics with the birth of what is generally known as evolvable hardware. Eversince,the?eldhasprogressedalongwiththetechnologicalimprovements and has expanded to take into account many di?erent biological processes, from evolution to learning, from development to healing. Of course, the application of these processes to electronic devices is not always straightforward (to say the least!), but rather than being discouraged, researchers in the community have shown remarkable ingenuity, as demostrated by the variety of approaches presented at this conference and included in these proceedings.

Evolutionary programming (Computer science) --- Evolutionary computation --- Logic circuits --- Engineering & Applied Sciences --- Computer Science --- Design and construction --- Information Technology --- Software Engineering --- Digital integrated circuits --- Computer science. --- Computer communication systems. --- Special purpose computers. --- Software engineering. --- Computers. --- Computer logic. --- Artificial intelligence. --- Computer Science. --- Software Engineering. --- Computation by Abstract Devices. --- Computer Communication Networks. --- Artificial Intelligence (incl. Robotics). --- Logics and Meanings of Programs. --- Special Purpose and Application-Based Systems. --- 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 --- Computer science logic --- Logic, Symbolic and mathematical --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Calculators --- Cyberspace --- Computer software engineering --- Engineering --- Special purpose computers --- Computers --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Network computers --- Informatics --- Science --- Distributed processing --- Digital electronics --- Integrated circuits --- Logic design. --- Artificial Intelligence. --- Design, Logic --- Design of logic systems --- Electronic circuit design --- Switching theory --- Computer networks. --- Computers, Special purpose. --- Theory of Computation. --- Computer Science Logic and Foundations of Programming.