CoSMoS: Complex Systems Modelling and Simulation
Lead Research Organisation:
University of York
Department Name: Computer Science
Abstract
Our proposal builds capacity in generic modelling tools and simulation techniques for complex systems, to support the modelling, analysis and prediction of complex systems, and to help design and validate complex systems. Drawing on our state-of-the-art expertise in many aspects of computer systems engineering, we will develop CoSMoS, a modelling and simulation process and infrastructure specifically designed to allow complex systems to be explored, analysed, and designed within a uniform framework.
Publications
Read M
(2012)
Techniques for grounding agent-based simulations in the real domain: a case study in experimental autoimmune encephalomyelitis
in Mathematical and Computer Modelling of Dynamical Systems
Read M
(2014)
Modelling biological behaviours with the unified modelling language: an immunological case study and critique.
in Journal of the Royal Society, Interface
Read M
(2013)
Determining disease intervention strategies using spatially resolved simulations.
in PloS one
Ritson C
(2010)
A process-oriented architecture for complex system modelling
in Concurrency and Computation: Practice and Experience
Stepney, Susan; Polack, Fiona; Welch, Peter
(2008)
Cosmos 2008: Complex Systems Modelling and Simulation
Susan Stepney
(2011)
Reflecting on Open-Ended Evolution
in ECAL 2011, Paris, France, August 2011
Susan Stepney (Author)
(2008)
Complex Systems Models
Susan Stepney (Author)
(2011)
Multiple model simulation
Susan Stepney (Author)
(2008)
Investigating Patterns for the Process-Oriented Modelling and Simulation of Space in Complex Systems
| Description | We have developed a new approach to building fit-for-purpose computer simulations of complex systems, and applied this to various domains, initially mainly immunology, but extending to other areas from cancer to social segregation. This new approach focuses on the early stages of the development, ensuring that domain experts are contributing early in the process, and the the purpose of the simulation is clearly captures, to allow fitness-for-purpose argumentation to be applied. |
| Exploitation Route | Others can use the developed process to build and have reasonable confidence in computatioal simulations of complex systems of interest. |
| Sectors | Agriculture, Food and Drink,Communities and Social Services/Policy,Digital/Communication/Information Technologies (including Software),Education,Environment,Healthcare,Manufacturing, including Industrial Biotechology,Pharmaceuticals and Medical Biotechnology |
| URL | http://www.cs.york.ac.uk/nature/cosmos/ |
| Description | Within the project, the developed process has been used mainly for simulation of immunological systems and processes. This has led to a spinoff centre: the York Centre of Computational Immunology, which has taken and further developed the approach, to integrate it into a specific experimental scientific domain. Subsequently, the spinoff company Simomics was formed, exploiting and selling the modelling and argumentation approach developed in the project. Additionally, members of the project have used the approach in their subsequent research simulation projects. |
| Sector | Communities and Social Services/Policy,Digital/Communication/Information Technologies (including Software),Education,Environment,Healthcare,Pharmaceuticals and Medical Biotechnology |
| Impact Types | Societal,Economic |
| Description | Living Technologies call of ICT EU FP7 |
| Amount | € 2,629,000 (EUR) |
| Funding ID | 610427 |
| Organisation | European Commission |
| Department | Seventh Framework Programme (FP7) |
| Sector | Public |
| Country | European Union (EU) |
| Start | 11/2013 |
| End | 10/2016 |