Organic Computing
Publication year: 2008
: 978-3-540-77657-4
In this book, the major ideas behind Organic Computing are delineated, together with a sparse sample of computational projects undertaken in this new field. Biological metaphors include evolution, neural networks, gene-regulatory networks, networks of brain modules, hormone system, insect swarms, and ant colonies. Applications are as diverse as system design, optimization, artificial growth, task allocation, clustering, routing, face recognition, and sign language understanding.
: Physics and Astronomy, Organic Computing, architecture, bio-inspired, calculus, cognition, control, dynamical systems, dynamische Systeme, evolution, learning, linear optimization, neural networks, optimization, organization, system, Complex Systems, Artificial Intelligence, Neurosciences, Mathematical and Computational Engineering, Dynamical Systems and Ergodic Theory
