CoSMoS process, models, and metamodels

By the same authors

The CoSMoS Process, Version 0.1: A Process for the Modelling and Simulation of Complex Systems
Andrews, P. S., Polack, F. A. C., Sampson, A. T., Stepney, S. & Timmis, J., 1 Mar 2010.
Research output: Working paper
Reflections on the Simulation of Complex Systems for Science
Polack, F. A. C., Andrews, P. S., Ghetiu, T., Read, M., Stepney, S., Timmis, J. & Sampson, A. T., 2010, Engineering of Complex Computer Systems (ICECCS), 2010 15th IEEE International Conference on . IEEE, p. 276-285 9 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
The CoSMoS Process: Simulations for Scientific Exploration (extended abstract)
Andrews, P. S., Stepney, S., Timmis, J. & Polack, F., 2009.
Research output: Contribution to conference › Abstract
Complex Systems Models: Engineering Simulations
Polack, F. A. C., Hoverd, T., Sampson, A. T., Stepney, S. & Timmis, J., 2008, Proceedings of the Eleventh International Conference on the Simulation and Synthesis of Living Systems. MIT Press, Cambridge, MA., p. 482-489
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Using argument notation to engineer biological simulations with increased confidence
Alden, K. J., Andrews, P. S., Polack, F. A. C., Veiga-Fernandes, H., Coles, M. C. & Timmis, J., Apr 2015
Article in Interface

Research output: Contribution to conference › Paper

Author(s)

Department/unit(s)

Publication details

Date	Published - 2011
Original language	Undefined/Unknown

Abstract

We summarise the existing CoSMoS approach to modelling and simulating complex systems, then introduce how the various CoSMoS models are related via their metamodel, and demonstrate the generality of the process by discussing its application to engineering bioinspired systems.

Projects

Cosmos: Complex Systems Modelling and Simulation
Project: Research

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By the same authors

The CoSMoS Process, Version 0.1: A Process for the Modelling and Simulation of Complex Systems

Reflections on the Simulation of Complex Systems for Science

The CoSMoS Process: Simulations for Scientific Exploration (extended abstract)

Complex Systems Models: Engineering Simulations

Using argument notation to engineer biological simulations with increased confidence