Complex systems and self-organization modelling
著者
書誌事項
Complex systems and self-organization modelling
（Understanding complex systems / founding editor, J.A. Scott Kelso）（Springer complexity）
Springer, c2009
- hbk
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注記
Selected conference papers
Formerly CIP
Includes bibliographical references and index
HTTP:URL=http://dx.doi.org/10.1007/978-3-540-88073-8
内容説明・目次
内容説明
Theconcernofthisbookistheuseofemergentcomputingandself-organization modellingwithinvariousapplicationsofcomplexsystems. Wefocusouratt- tion 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 e?ciently. First part deals with general modelling and methodology as conceptual - proaches for complex systems description. An introductive chapter by Michel Cotsaftis entitled "A Passage to Complex Systems", treats the notion of "Complex Systems" in opposition to that of a "Complicated System". This can be, he claims, comprehended immediately from the latin roots as "C- plex" comes from "cum plexus" (tied up with) whereas "complicated" ori- natesfrom"cumpliare"(piledupwith). Thepaperisawideandrichdisser- tion with elements of history (of the technical developement of mankind) with its recents steps : mechanist, quantum and relativistic points of view. Then, the need for a "passage" is illustrated by the discussion, with tools borrowed from functional analysis, of a typical parametric di?erential system.
The last and conclusive parts give tracks for the study of Complex Systems, in parti- lar one can hope to pass to quantitative study and control of complex systems even if one has to consent a "larger intelligence delegation" to them (as - nounced in the introduction) by using and developing tools already present in dissipative Physics and in Mathematical functional analysis and ?xed point theorems, for instance. This "passage" is followed by a wide bibliography of more than 90 entries. The (non hasty) reader is invited to read this deep and far reaching account before browsing through the book.
目次
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.
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