"Simulation and Modeling." . . "Simulation and Modeling" . "Computer Systems." . . "Pattern Recognition." . . "Wiskundige statistiek." . . "Selbst organisierendes System." . . "Computer network architectures." . . "Digitales System." . . "Pattern perception." . . "Système auto-organisé." . . "Artificiële intelligentie. Robotica. Simulatie. Graphics." . . "simulaties." . . "kunstig intelligens" . . "Computerarchitectuur. Operating systems." . . "Computer Science." . . "Computer science." . "coderen." . . "Optical pattern recognition." . . "Computer Systems Organization and Communication Networks." . . "Computer Systems Organization and Communication Networks" . "Electronic books." . . . . "Information theory." . . "computerbesturingssystemen." . . "robots." . . "toegepaste informatica." . . "Computer simulation." . . "OS (operating system)" . . "Artificial Intelligence (incl. Robotics)" . . "Ergodentheorie. Informatietheorie." . . "patroonherkenning." . . "Artificial intelligence." . . "Coding theory." . . "Verteiltes System." . . "Theoretische informatica." . . "Theory of Computation." . . "Theory of Computation" . "Selbstorganisation." . . "Système auto-organisateur." . . "Systèmes auto-organisés." . . "factoranalyse." . . "Self-organizing systems." . . "Coding and Information Theory." . . "Coding and Information Theory" . "vormgeving." . . "SCIENCE System Theory." . . "Informatique." . . . . . . "Presents the practice in engineered self-organizing systems, and examines ways to balance design and self organization in the context of applications. This book demonstrates the practical relevance and applicability of self-organization. It is suitable for advanced students and researchers in a range of fields."@en . . . . "This book presents state-of-the-practice of successfully engineered self-organizing systems and examines ways to balance design and self-organization in the context of applications. This balance helps to deal with practical challenges as such as navigation of microscopic robots within blood vessels, self-monitoring aerospace vehicles, collective and modular robotics adapted for autonomous reconnaissance and surveillance, self-managing grids and multiprocessor scheduling, data visualization and self-modifying digital and analog circuitry, intrusion detection in computer networks, reconstruction of hydro-physical fields, traffic management, immunocomputing and nature-inspired computation. Many algorithms proposed and discussed are biologically inspired, and the reader will also gain an insight into cellular automata, genetic algorithms, artificial immune systems, snake-like locomotion, ant foraging, birds flocking, and neuromorphic circuits, amongst others. --" . . . . . . . . . . . . . . . . . . . . . . "Advances in Applied Self-Organizing Systems" . . . . . . . . . . . . . . . . . . . . "Ressources Internet" . . . . . . . . . . . . . . . . . . . . . "Electronic books" . "Electronic books"@en . . . . . . . . "Advances in Applied Self-organizing Systems" . "Advances in applied self-organizing systems" . . "Advances in applied self-organizing systems"@en . "Advances in Applied Self-organizing Systems"@en . "How do we design a self-organizing system? Is it possible to validate and control non-deterministic dynamics? What is the right balance between the emergent patterns that bring robustness, adaptability and scalability, and the traditional need for verification and validation of the outcomes? The last several decades have seen much progress from original ideas of \"emergent functionality\" and \"design for emergence\", to sophisticated mathematical formalisms of \"guided self-organization\". And yet the main challenge remains, attracting the best scientific and engineering expertise to this elusive problem. This book presents state-of-the-practice of successfully engineered self-organizing systems, and examines ways to balance design and self-organization in the context of applications. As demonstrated in this second edition of Advances in Applied Self-Organizing Systems, finding this balance helps to deal with practical challenges as diverse as navigation of microscopic robots within blood vessels, self-monitoring aerospace vehicles, collective and modular robotics adapted for autonomous reconnaissance and surveillance, self-managing grids and multiprocessor scheduling, data visualization and self-modifying digital and analog circuitry, intrusion detection in computer networks, reconstruction of hydro-physical fields, traffic management, immunocomputing and nature-inspired computation. Many algorithms proposed and discussed in this volume are biologically inspired, and the reader will also gain an insight into cellular automata, genetic algorithms, artificial immune systems, snake-like locomotion, ant foraging, birds flocking, neuromorphic circuits, amongst others. Demonstrating the practical relevance and applicability of self-organization, Advances in Applied Self-Organizing Systems will be an invaluable tool for advanced students and researchers in a wide range of fields."@en . "How do we design a self-organizing system? Is it possible to validate and control non-deterministic dynamics? What is the right balance between the emergent patterns that bring robustness, adaptability and scalability, and the traditional need for verification and validation of the outcomes? The last several decades have seen much progress from original ideas of \"emergent functionality\" and \"design for emergence\", to sophisticated mathematical formalisms of \"guided self-organization\". And yet the main challenge remains, attracting the best scientific and engineering expertise to this elusive problem. This book presents state-of-the-practice of successfully engineered self-organizing systems, and examines ways to balance design and self-organization in the context of applications. As demonstrated in this second edition of Advances in Applied Self-Organizing Systems, finding this balance helps to deal with practical challenges as diverse as navigation of microscopic robots within blood vessels, self-monitoring aerospace vehicles, collective and modular robotics adapted for autonomous reconnaissance and surveillance, self-managing grids and multiprocessor scheduling, data visualization and self-modifying digital and analog circuitry, intrusion detection in computer networks, reconstruction of hydro-physical fields, traffic management, immunocomputing and nature-inspired computation. Many algorithms proposed and discussed in this volume are biologically inspired, and the reader will also gain an insight into cellular automata, genetic algorithms, artificial immune systems, snake-like locomotion, ant foraging, birds flocking, neuromorphic circuits, amongst others. Demonstrating the practical relevance and applicability of self-organization, Advances in Applied Self-Organizing Systems will be an invaluable tool for advanced students and researchers in a wide range of fields." . . . . . . . "informatietheorie." . .