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My principal research interest is complex systems simulation: the application of modelling techniques developed within artificial intelligence, complexity science, maths and physics to understanding how complex systems behave. I am interested in the potential for the modelling techniques that I use to be applied to problems from many other disciplines. I have worked on problems from archaeology to zoology and my primary interests are in the life sciences and social sciences. I am also interested in self-organisation and adaptation in engineered systems, such as computational ecosystems, infrastructure systems, etc.
After gaining a BA in cognitive science and a DPhil (PhD) in evolutionary simulation modelling from the School of Cognitive and Computing Sciences at Sussex University, I spent two years in Berlin at the Max Planck Institute for Human Development working on simulating the evolution of adaptive decision-making behaviour in people and other animals. In 1999 I took up a five-year University Research Fellowship at the University of Leeds, founded the Biosystems research group, and became a Lecturer there in 2004. In October 2005 I joined the University of Southampton as Senior Lecturer, and helped to found the Science and Engineering of Natural Systems (SENSe) research group. In 2009 I became head of the SENSe group, and also became Director of Southampton's Institute for Complex Systems Simulation (ICSS). In 2011 I was promoted to Professor of Computer Science and helped found the Agents, Interaction and Complexity (AIC) research group. In 2015 I joined the University of Bristol's Department of Computer Science as Toshiba Chair in Data Science and Simulation.
University of Bristol positions
Toshiba Chair in Data Science and SimulationDepartment of Computer Science
Identifying Optimal Granularity Level of Modular Assembly Supply Chains based on Complexity-Modularity Trade-off
Engineering Management Journal
- Conference paper
- E-pub ahead of print
Deriving Key Features of a System-of-Systems Complexity Evaluation Framework from an Industrial Case Study Analysis
2019 International Symposium on Systems Engineering (ISSE)
- Conference contribution
- E-pub ahead of print