Mikhail prokopenko (70 risultati)

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Taschenbuch. Condizione: Neu. Neuware - Complex systems is a new approach to science, engineering, health and management that studies how relationships between parts give rise to the collective emergent behaviours of the entire system, and how the system interacts with its environment.A system can be thought of as complex if its dynamics cannot be easily predicted, or explained, as a linear summation of the individual dynamics of its components. In other words, the many constituent microscopic parts bring about macroscopic phenomena that cannot be understood by considering a single part alone ('the whole is more than the sum of the parts'). There is a growing awareness that complexity is strongly related to criticality: the behaviour of dynamical spatiotemporal systems at an order/disorder phase transition where scale invariance prevails. Complex systems can also be viewed as distributed information-processing systems. Consciousness emerging from neuronal activity and interactions, cell behaviour resultant from gene regulatory networks and swarming behaviour are all examples of global system behaviour emerging as a result of the local interactions of the individuals (neurons, genes, animals). Can these interactions be seen as a generic computational process This question shapes the special issue, linking computation to complexity and criticality.…

Condizione: New. &Uumlber den AutorrnrnThe University of SydneyAustraliaKlappentextrnrnComplex systems is a new approach to science, engineering, health and management that studies how relationships between parts give rise to the collect.

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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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-OrganizingSystems will be an invaluable tool for advanced students and researchers in a wide range of fields.…

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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-OrganizingSystems will be an invaluable tool for advanced students and researchers in a wide range of fields. …

Paperback. Condizione: Brand New. 2nd edition. 436 pages. 9.00x6.00x1.00 inches. In Stock.

Taschenbuch. Condizione: Neu. Advances in Applied Self-Organizing Systems | Mikhail Prokopenko | Taschenbuch | Advanced Information and Knowledge Processing | x | Englisch | 2015 | Springer | EAN 9781447158998 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Hardcover. Condizione: Brand New. 2nd edition. 426 pages. 9.00x6.25x1.00 inches. In Stock.

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