Details of Grant 

EPSRC Reference:	GR/S63090/01
Title:	Coping with Complexity: Multi-disciplinary methods to model, measure, control and predict the behaviour of complex, dynamic networks
Principal Investigator:	Smart, Dr JH
Other Investigators:	MacCarthy, Professor B Fricker, Professor MD Johnson, Professor N Howison, Professor S Calinescu, Professor A
Researcher Co-Investigators:	Professor FP Reed-Tsochas
Project Partners:	Hewlett Packard Inc Stockholm Environment Institute
Department:	Engineering Science
Organisation:	University of Oxford
Scheme:	Standard Research (Pre-FEC)
Starts:	24 July 2003	Ends:	23 January 2004	Value (£):	47,057
EPSRC Research Topic Classifications:	Artificial Intelligence Complexity Science Networks & Distributed Systems New & Emerging Comp. Paradigms
EPSRC Industrial Sector Classifications:	Communications Electronics Information Technologies
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Summary on Grant Application Form
We propose to develop a research cluster that is centred on modelling complex systems as networks of interacting agents. Real-world examples of such systems include financial markets, manufacturing supply chains and living organisms. The complex dynamics generated by non-linear interactions between agents in these systems make them challenging to predict and control. In addition, such systems are frequently characterised by poor quality information, which makes them difficult to measure and model. However, it is also known that such systems can operate effectively and robustly, adapting the structure of the network and the behaviour of the components to the environment. This project will develop a detailed research cluster proposal or proposals on the theme of Coping with Complexity that will compare the models and methods that have been developed in the fields of mathematics, engineering, biology and business studies.
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Organisation Website:	http://www.ox.ac.uk