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
Alden K
(2013)
Spartan: a comprehensive tool for understanding uncertainty in simulations of biological systems.
in PLoS computational biology
Alden K
(2015)
Using argument notation to engineer biological simulations with increased confidence.
in Journal of the Royal Society, Interface
Hoverd T
(2014)
Environment orientation: a structured simulation approach for agent-based complex systems
in Natural Computing
Hoverd T
(2010)
A Transactional Architecture for Simulation
Moyo D
(2018)
Macrophage Transactivation for Chemokine Production Identified as a Negative Regulator of Granulomatous Inflammation Using Agent-Based Modeling.
in Frontiers in immunology
Patel A
(2012)
Differential RET signaling pathways drive development of the enteric lymphoid and nervous systems.
in Science signaling
Pedersen J
(2018)
The symbiosis of concurrency and verification: teaching and case studies
in Formal Aspects of Computing
| 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 |