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 4
... structures , patterns ) which are products of the process of emergence at the macro ( system ) level , caused by ... structure like the one proposed by Fromm in [ 15 ] , where he builds upon the classifi- cation for cellular automata ...
... structures , patterns ) which are products of the process of emergence at the macro ( system ) level , caused by ... structure like the one proposed by Fromm in [ 15 ] , where he builds upon the classifi- cation for cellular automata ...
Side 5
... structure of complex systems and MAS. They both rely on many individual components (agents) in order to achieve their goals. Each agent in an MAS is autonomous and able to interact in a stochastic manner with other agents. Moreover ...
... structure of complex systems and MAS. They both rely on many individual components (agents) in order to achieve their goals. Each agent in an MAS is autonomous and able to interact in a stochastic manner with other agents. Moreover ...
Side 6
... structures of agents is extremely difficult. This is primarily due to the dynamicity and unpredictability of interaction patterns within the system. This unpredictability is a big problem from an engineering perspective since it ...
... structures of agents is extremely difficult. This is primarily due to the dynamicity and unpredictability of interaction patterns within the system. This unpredictability is a big problem from an engineering perspective since it ...
Side 19
... structure of the animal . The states represent the movement direction and speed at a particular time instance , while the transitions represent a change in the animal's movement speed and / or direction . Using formal stream X ...
... structure of the animal . The states represent the movement direction and speed at a particular time instance , while the transitions represent a change in the animal's movement speed and / or direction . Using formal stream X ...
Side 22
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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