Computational Modelling Group

Amorphous Computation, Random Graphs and Complex Biological Networks

1st January 2006
30th September 2010
Seth Bullock

An amorphous computational network

This interdisciplinary research collaboration arose within the Simple Models of Complex Networks research cluster funded by the EPSRC through the Novel Computation Initiative. Here, leading groups from the Universities of Leeds, Sheffield, Nottingham, Southampton, Royal Holloway and King’s College and industrial partners BT are brought together for the first time to develop novel amorphous computation methods based on the theory of random graphs. In particular we focus on new models with particularly relevant structural features, and on network models in a broad range of biological (neuroscience, epidemics and regulatory networks) and communication (telephone, internet) domains.

Our workpackages will generate insight into these specific domains, and for the area of amorphous computing. The collaborators are mathematicians and computer scientists who are currently using graph and network theory within a variety of biological and technological domains.


Life sciences simulation: Developmental Biology, Neuroscience, Systems biology

Socio-technological System simulation: Sensor Networks, Social and Socio-economic Systems, Social Networks

Algorithms and computational methods: Agents, Artificial Neural Networks, Game Theory, Graph Theory

Transdisciplinary tags: Complex Systems