Cosmos 2008: Complex Systems Modelling and SimulationSusan Stepney, Fiona Polack, Peter Welch Luniver Press, 2008 - 136 sider The study of Complex Systems is growing rapidly, and modelling and simulation tools are an important part of the process. This volume brings together work from a multidisciplinary group of scientists, from biology and computer science, who are studying a variety of techniques and applications for modelling and simulating complex systems. A common theme emerging from much of this work is an emphasis on validation: how one can have confidence that a computer simulation is saying something sensible about the complex real-world domain of interest. |
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Side 16
... neighbours . Nevertheless there are arguments , like the one put forward in [ 30 ] , where the authors claim that flocking ( and presumably herding as simi- lar phenomena ) is not an emergent behaviour since it lacks the element of ...
... neighbours . Nevertheless there are arguments , like the one put forward in [ 30 ] , where the authors claim that flocking ( and presumably herding as simi- lar phenomena ) is not an emergent behaviour since it lacks the element of ...
Side 17
... neighbours at time t-1. While there is no explicit message exchange between the animals, they do interact with each other through modification of the environment by means of spatial repositioning. The environment is represented by a two ...
... neighbours at time t-1. While there is no explicit message exchange between the animals, they do interact with each other through modification of the environment by means of spatial repositioning. The environment is represented by a two ...
Side 18
... neighbours are in the neutral zone the animal does not react . However when all of neighbours are on the same side the animal moves toward them . This kind of behaviour according to Hamilton [ 33 ] is a display of “ selfishness ” as the ...
... neighbours are in the neutral zone the animal does not react . However when all of neighbours are on the same side the animal moves toward them . This kind of behaviour according to Hamilton [ 33 ] is a display of “ selfishness ” as the ...
Side 20
... neighbours at time t − 1. Conse- quently M = ( x_cor , y_cor , speed , moving_direction , neighbor- hood ) , where ... neighbour po- sition . — Ø The type of the machine is = { increaseSpeedLeft , moveNormal , move , ... } the labels in ...
... neighbours at time t − 1. Conse- quently M = ( x_cor , y_cor , speed , moving_direction , neighbor- hood ) , where ... neighbour po- sition . — Ø The type of the machine is = { increaseSpeedLeft , moveNormal , move , ... } the labels in ...
Side 21
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Almindelige termer og sætninger
abstraction accidents activities AP lifespan AP system apoplast approach argument aspects assumptions AUX/LAX Auxin Canal auxin transport biological detail biologists blood circulation canalisation capture cause cell membrane chemokine class diagram clotting complex systems Complex Systems Modelling components Computer Science computer simulations conceptual model CoSMoS project defined detection Diffuse Domain Model dynamics Eleftherakis emergent behaviour emergent phenomena emergent properties endothelial cells environment example figure Formal Verification framework fuzzy goal hazard analysis herd formation HEV lumen hypothesis identified implementation interaction lymph node lymphocyte lymphocyte processes macro-level methods micro Model class diagram modelling and simulation multi-agent model neighbours NetLogo output overview parameters pericytes phase PIN protein Plant platelets probability problem entity produce safety engineering safety-critical Sargent software engineering Software Model specific speed structure Susan Stepney techniques tion tool transition University of York vacuole venule XMDL zone