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Details of Grant 

EPSRC Reference: GR/T24616/01
Title: Visiting Fellowship: Coarse Grain in Complex Adaptive Systems
Principal Investigator: Poli, Professor R
Other Investigators:
Holland, Professor O Tsang, Professor E Lucas, Professor S
Researcher Co-Investigators:
Project Partners:
Department: Computer Sci and Electronic Engineering
Organisation: University of Essex
Scheme: Standard Research (Pre-FEC)
Starts: 01 January 2005 Ends: 30 September 2005 Value (£): 44,685
EPSRC Research Topic Classifications:
Artificial Intelligence Fundamentals of Computing
New & Emerging Comp. Paradigms
EPSRC Industrial Sector Classifications:
No relevance to Underpinning Sectors
Related Grants:
Panel History:  
Summary on Grant Application Form
This adventurous proposal aims to complete an innovative and ambitious inter-disciplinary research programme to explore a series of important, novel and timely themes within the area of complex adaptive systems, such as immune systems, economies, genetic systems, distribution networks and so on. These systems present unique challenges to those who would model and understand them, being formed by many simple interacting parts that give rise, however, to emergent, complex, collective phenomena. What is required to understand such systems is a methodology that allows one to systematically study and understand potentially complex, emergent macroscopic phenomena in terms of the underlying microscopic degrees of freedom. We believe that such a methodology is what in physics is know as coarse graining, such as that achieved via the renormalisation group. In previous work we have started applying this methodology to particular classes of complex adaptive systems: genetic algorithms and genetic programming. In this project we want to complete this work but also to extend the coarse graining methodology to the problems of understanding financial markets and artificial swarming systems.
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Organisation Website: http://www.sx.ac.uk