Complex Systems and Self-organization Modelling

This book, the outcome of a workshop meeting within ESM 2006, explores the use of emergent computing and self-organization modeling within various applications of complex systems.

The concern of this book is the use of emergent computing and self-organization modelling within various applications of complex systems. The authors focus their attention both on the innovative concepts and implementations in order to model self-organizations, but also on the relevant applicative domains in which they can be used efficiently.

This book is the outcome of a workshop meeting within ESM 2006 (Eurosis), held in Toulouse, France in October 2006.

Devoted to the use of emergent computing and self-organization modelling within various applications of complex systems Presents innovative concepts and implementations in order to model self-organizations Brings together researchers from physics, engineering, biology, and chemistry Presents multidisciplinary approaches for getting representations of complex systems and using different methods to extract emergent structures Includes supplementary material: sn.pub/extras

Inhalt
Complex system modelling and methodology.- A Passage to Complex Systems.- Holistic Metrics, a Trial on Interpreting Complex Systems.- Different Goals in Multiscale Simulations and How to Reach Them.- Invariant Manifolds of Complex Systems.- Application of Homotopy Perturbation Method for Ecosystems Modelling.- Swarm intelligence and neuronal learning.- Multi Objective Optimization Using Ant Colonies.- Self-Organization in an Artificial Immune Network System.- On Adapting Neural Network to Cellular Manufacturing.- Socio-environmental complex modelling and territorial intelligence.- The Evolution Process of Geographical Database within Self-Organized Topological Propagation Area.- Self-Organization Simulation over Geographical Information Systems Based on Multi-Agent Platform.- Cliff Collapse Hazards Spatio-Temporal Modelling through GIS: from Parameters Determination to Multi-scale Approach.- Structural and Dynamical Complexities of Risk and Catastrophe Systems: an Approach by System Dynamics Modelling.- Detection and Reification of Emerging Dynamical Ecosystems from Interaction Networks.- Emotion and cognition modelling.- Simulation of Emotional Processes in Decision Making.- Emotions: Theoretical Models and Clinical Implications.- Production systems and simulation.- Complex Systems Dynamics in an Economic Model with Mean Field Interactions.- Complexity of Traffic Interactions: Improving Behavioural Intelligence in Driving Simulation Scenarios.- An Integrative Simulation Model for Project Management in Chemical Process Engineering.