Buch, Englisch, 236 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 547 g
Buch, Englisch, 236 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 547 g
Reihe: Understanding Complex Systems
ISBN: 978-3-540-88072-1
Verlag: Springer Berlin Heidelberg
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.
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Weitere Infos & Material
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.
