Cosmos 2008: Complex Systems Modelling and Simulation
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.
Hvad folk siger - Skriv en anmeldelse
Vi har ikke fundet nogen anmeldelser de normale steder.
Almindelige termer og sætninger
abstraction accidents activities agent animal AP system apoplast approach argument artiﬁcial aspects assumptions Auxin Canal auxin transport biological detail biologists blood circulation canalisation capture cause cell membrane chemokine class diagram clotting complex systems components computer simulations conceptual model conﬁdence CoSMoS project deﬁned deﬁnition detection diﬀerent diﬀerentiate diﬃcult diﬀusion Domain Model dynamics eﬀects emergent behaviour emergent phenomena emergent properties endothelial cells environment example ﬁnd ﬁndings ﬁrst ﬂow framework fuzzy goal hazard analysis herd formation HEV lumen hypothesis identiﬁed implementation individual inﬂuence interaction lymph node lymphocyte macro-level methods micro migration Model class diagram modelling and simulation molecules multi-agent model multi-agent system neighbours NetLogo oﬀers output overview parameters pericytes PIN protein plant platelets probability problem entity produce safety engineering safety-critical Sargent’s scientiﬁc software engineering Software Model speciﬁc structure suﬃcient techniques tion transition University of York vacuole venule XMDL zone