An important part of the science of complexity is the study of emergent properties arising through dynamical processes in various types of natural and artificial systems. This is the aim of this book, which is the outcome of a discussion meeting within the first European conference on complex systems. It presents multidisciplinary approaches for getting representations of complex systems and using different methods to extract emergent structures. This carefully edited book studies emergent features such as self organization, synchronization, opening on stability and robustness properties. Invariant techniques are presented which can express global emergent properties in dynamical and in temporal evolution systems. This book demonstrates how artificial systems such as a distributed platform can be used for simulation used to search emergent placement during simulation execution.

Intense Electron and Ion Beams

Molokovsky, Sergey Ivanovich, Sushkov, Aleksandr Danilovich

Aziz-Alaoui, M. A; Bertelle, C. (Cyrille)

Cyrille Bertelle; M.A. Aziz-Alaoui

M. A Aziz-Alaoui; C Bertelle

Moulay A Aziz-Alaoui

Steinkopff. in Springer-Verlag GmbH

Berlin: Springer-Verlag

Springer Berlin

Understanding complex systems, Berlin, 2006

Springer complexity, Berlin, ©2006

1 edition, September 25, 2006

Germany, Germany

2006, US, 2006

2005

x, 280 p. : 25 cm
"... outcome of a discussion meeting within the first European conference on complex systems."--P. 4 of cover
Includes bibliographical references and index
From trajectory control to task space control - emergence of self organization in complex systems / Michel Cotsaftis -- Competing ants for organization detection / Alain Cardon, Antoine Dutot, Frederic Guinand and Damien Olivier -- Problem solving and complex systems / Frederic Guinand and Yoann Pigne -- Changing levels of description in a fluid flow simulation / Pierrick Tranouez, Cyrille Bertelle and Damien Olivier -- DNA supramolecular self assemblies as a biomimetic complex system / A. R. Thierry, D. Durand, M. Schmutz and B. Lebleu -- Slow manifold of a neuronal bursting model / Jean-Marc Ginoux and Bruno Rossetto -- Complex emergent properties and chaos (de)synchronization / M. A. Aziz-Alaoui -- Robust H[subscript [infinity]] filtering based synchronization for a class of uncertain neutral systems / A. Alif, M. Boutayeb and M. Darouach -- Automata-based adaptive behavior for economic modelling using game theory / Rawan Ghnemat, Saleh Oqeili, Cyrille Bertelle and Gerard H. E. Duchamp -- A novel diagnosis system specialized in difficult medical diagnosis problems solving / Barna Laszlo Iantovics -- Constraint programming and multi-agent system mixing approach for agricultural decision support system / Sami Al-Maqtari, Habib Abdulrab and Ali Nosary -- Complex systems representation by C[superscript k] spline functions / Youssef Slamani, Marc Rouff and Jean Marie Dequen -- Computer algebra and C[superscript k] spline functions : a combined tools to solve nonlinear differential problems / Zakaria Lakhdari, Philippe Makany and Marc Rouff -- Decoupling partially unknown dynamical systems by state feedback equations / Philippe Makany, Marc Rouff and Zakaria Lakhdari -- Eigenfrequencies invariance properties in deformable flexion-torsion loaded bodies -1- general properties / Marc Rouff, Zakaria Lakhdari and Philippe Makany -- Eigenfrequencies invariance properties in deformable flexion-torsion loaded bodies -2- the compliant case / Marc Rouff, Zakaria Lakhdari and Philippe Makany

<p>An important part of the science of complexity is the study of emergent properties arising through dynamical processes, in various natural and artificial systems. This book presents multidisciplinary approaches for creating and modeling representations of complex systems, and a variety of methods for extracting emergent structures. Offering bio-complexity examples, the coverage extends to self organization, synchronization, stability and robustness. The contributors include researchers in physics, engineering, biology and chemistry.</p>

Understanding Complex Systems
Erscheinungsdatum: 09.08.2006

2024-07-01