Systematic Design For Emergence In Cellular Nonlinear Networks (Hb)

Dogaru, Radu

ISBN 10: 3540768009 / ISBN 13: 9783540768005

Editore: Springer, 2008

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Titolo: Systematic Design For Emergence In Cellular ...

Casa editrice: Springer

Data di pubblicazione: 2008

Legatura: Rilegato

Condizione: New

Descrizione articolo

Riassunto:

In this insightful work, Dogaru 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. The book’s approachability recommends it to a large audience including specialists from various interdisciplinary fields.

Dalla quarta di copertina:

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.