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 8
... Implementation Complete Multi - Agent Simulation Model Simulation Execution ITERATION Execution Data 8 Refinement Analysis 6 Hypothesis Conclusions Evaluation Fig . 1. Artifacts and transitions in the proposed framework of the framework ...
... Implementation Complete Multi - Agent Simulation Model Simulation Execution ITERATION Execution Data 8 Refinement Analysis 6 Hypothesis Conclusions Evaluation Fig . 1. Artifacts and transitions in the proposed framework of the framework ...
Side 9
... (implemented) in an environment which should allow animation of the model. The selection of simulation environment may vary de- pending on the system under study. A visual animation of the model may prove very useful in cases like the ...
... (implemented) in an environment which should allow animation of the model. The selection of simulation environment may vary de- pending on the system under study. A visual animation of the model may prove very useful in cases like the ...
Side 12
... Implementation (Conceptual) Model Programmed Model Verification Fig. 2. Overview of verification and validation steps in a modelling process, taken from [20]. – Automation of the transformation, from communicative to program- med model ...
... Implementation (Conceptual) Model Programmed Model Verification Fig. 2. Overview of verification and validation steps in a modelling process, taken from [20]. – Automation of the transformation, from communicative to program- med model ...
Side 13
... implementation of an agent, – to facilitate the development of correct agents. Although the use of formal techniques may be applicable to an individual agent, in practice it is infeasible to formally verify a complex multi-agent system ...
... implementation of an agent, – to facilitate the development of correct agents. Although the use of formal techniques may be applicable to an individual agent, in practice it is infeasible to formally verify a complex multi-agent system ...
Side 22
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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