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Details of Grant 

EPSRC Reference: GR/R33793/01
Title: Investigating Signalling System Evolution through Evolutionary Simulation Modelling
Principal Investigator: Bullock, Professor S
Other Investigators:
Researcher Co-Investigators:
Project Partners:
Department: Sch of Computing
Organisation: University of Leeds
Scheme: Fast Stream
Starts: 01 March 2001 Ends: 29 February 2004 Value (£): 66,601
EPSRC Research Topic Classifications:
Modelling & simul. of IT sys.
EPSRC Industrial Sector Classifications:
Financial Services Information Technologies
Communications
Related Grants:
Panel History:  
Summary on Grant Application Form
Computer science is increasingly coming to be seen as a source of solutions to many of the most pressing problems facing modern biology. Further, the inherent complexity of biological problems and evolved systems provides a rich set of opportunities for the development of novel methods in computer science. Inter-disciplinary research will drive new developments in both fields.One of the most intriguing problems facing biologists today is explaining the evolution of communication. It is not clear why selfish organisms should signal honestly to each other when deceit would often better achieve their individual goals. Despite this, signalling is practically ubiquitous within nature. Currently, many biological theories are competing to make sense of this paradox.Evolutionary simulation modelling (ESM) offers a way to explore how adaptive systems, such as evolving signalling sytems, change over time. The current project seeks to build on recent ESM work by developing new ESM techniques and applying them to this domain in order to advance current evolutionary biology. In doing so, it is also hoped that insights into the design of artificial software agent signalling systems may be gained, and that the project contributes significantly to developing and disseminating a best practice in ESM.
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Organisation Website: http://www.leeds.ac.uk