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Systematic design for emergence in cellular nonlinear networks / Radu Dogaru.

By: Dogaru, Radu.
Material type: materialTypeLabelBookCopyright date: New York : Springer, 2008Edition: First Edition.Description: 166 páginas : 24 cm. illustrations.ISBN: 9783540768005 (hardcover : alk. paper).Subject(s): Computer network architectures | Arquitectura de redes informáticas | Artificial intelligence | Inteligencia artificial | Engineering mathematics | Matemáticas para ingenierosDDC classification: 004.6
Partial contents:
Natural Computing Paradigms and Emergent Computation -- Cellular Nonlinear Networks: State of the Art and Applications -- Cellular and Natural Computing Models and Software Simulation -- Emergence, Locating and Measuring It -- Exponents of Growth.
Abstract: 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.
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Item type Current location Call number Copy number Status Date due Item holds
Libro académico Libro académico Biblioteca del Campus
004.6 D654s 2008 (Browse shelf) Ej. 1 Available
Total holds: 0

Includes index

Natural Computing Paradigms and Emergent Computation -- Cellular Nonlinear Networks: State of the Art and Applications -- Cellular and Natural Computing Models and Software Simulation -- Emergence, Locating and Measuring It -- Exponents of Growth.

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.

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