Spatially Embedded Complex Systems Engineering
- Homepage
- http://www.secse.net/
- Started
- 29th September 2009
- Investigators
- Seth Bullock
A random network embedded on a disc
SECSE brought together an interdisciplinary team of scientists working on an ambitious three-and-a-half year project titled. The research cluster spanned neuroscience, artificial intelligence, geography, and complex systems in an attempt to understand the role of spatial organization and spatial processes in complex networks within the domains of neural control, geo-information systems and distributed IT systems such as those implicated in air-traffic control.
A key driver for the project was IT's current "network transition": from traditional systems comprising relatively isolated hierarchically organised computational elements to large-scale, massively interconnected systems that are physically distributed and affected by local conditions yet must remain secure, robust, and efficient.
Categories
Life sciences simulation: Neuroscience
Socio-technological System simulation: Air-traffic Control, Built Environment, Transport
Algorithms and computational methods: Agents, Artificial Neural Networks, Evolutionary Algorithms, Geographic Information Systems, Optimisation