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 7
... tion. This is an important step, which aims to provide an alternative to formal verification and validation, since it cannot be achieved for complex systems with stochastic interactions [4]. Once the model is validated the process can ...
... tion. This is an important step, which aims to provide an alternative to formal verification and validation, since it cannot be achieved for complex systems with stochastic interactions [4]. Once the model is validated the process can ...
Side 12
... tion to all of these problems. The success of a particular representation schema depends on the system under study as well as the environment and people involved in the study. Therefore we avoid proposing a par- ticular technique as ...
... tion to all of these problems. The success of a particular representation schema depends on the system under study as well as the environment and people involved in the study. Therefore we avoid proposing a par- ticular technique as ...
Side 14
... tion the investigator has the opportunity to gain insight into systems ' operation . This knowledge can be very useful in the top - down analysis . The top - down process is concentrated on analysis of the data gath- ered during the ...
... tion the investigator has the opportunity to gain insight into systems ' operation . This knowledge can be very useful in the top - down analysis . The top - down process is concentrated on analysis of the data gath- ered during the ...
Side 15
... tion mechanisms and if possible determine tolerable conflicts and inconsistencies. This means identification of the type of communi- cation (interaction) exhibited by the agents as well as the reason for the initiation of communication ...
... tion mechanisms and if possible determine tolerable conflicts and inconsistencies. This means identification of the type of communi- cation (interaction) exhibited by the agents as well as the reason for the initiation of communication ...
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