ECS, Faculty of Physical and Applied Sciences
University of Southampton
Southampton, United Kingdom. SO17 1BJ
Position: Academic staff in Agents, Interaction and Complexity
Telephone: Work (Voice): +44 (0)23 8059 5776
URI: http://id.ecs.soton.ac.uk/person/9092 [browse]
|•||Dr Jason Noble||(explain)|
|•||Dr Richard A. Watson||(explain)|
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Interests: artificial intelligence, artificial life, behavioural ecology, bio-inspired computation, coevolution, cognitive science, complex systems theory, complexity science, computational economics, evolution, evolutionary algorithms, evolutionary biology, evolutionary computation, evolutionary game theory, evolutionary simulation modelling, experimental economics, grid computing, individual-based modelling, learning, life sciences interface, major evolutionary transitions, modularity, networks science, philosophy of biology, philosophy of mind, philosophy of science, rationality, self-organisation, sexual selection, signalling, simulation modelling methodology, simulation models, simulation of adaptive behaviour, social networks, tea drinking, the handicap principle, theoretical biology
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 (supervised by Dave Cliff and Phil Husbands), I spent two years in Berlin at the Max Planck Institute for Human Development working with Peter Todd 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 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 new Institute for Complex Systems Simulation (ICSS). In 2010 I became co-director of the University Strategic Research Group in Complexity in Real World Contexts (USRG Complexity), for which I run a Complex Systems Simulation Seminar Series (CS^4). In 2011 I was promoted to Professor of Computer Science and helped found the Agents, Interaction and Complexity (AIC) research group.
Fully-Funded PhD Positions in Complex Systems Simulation
If you are interested in a fully-funded PhD position, modelling complex systems in areas such as climate change, drug design, evolutionary and ecological biology, transport, markets, amorphous and pervasive computing, tissues and biomedical systems, massive multi-agent systems, quantum systems, turbulence, nanodevices, molecular biology, industrial design, etc., please click here.
My principal research interest is evolutionary simulation modelling: the application of evolutionary modelling techniques developed within artificial intelligence (e.g., genetic algorithms) to problems within evolutionary biology (e.g., the evolution of communication). I am also interested in self-organisation and adaptation in engineered systems, such as computational ecosystems, infrastructure systems, etc., and the potential for the modelling techniques that I use to be applied to problems from many other disciplines, e.g., linguistics, economics, psychology, geography, anthropology, etc.
Some of my additional research interests include:
I am a director of the new University Strategic Research Group (USRG) on Complexity Science in Real World Contexts.
DPhil "Evolutionary Simulation Models" (Sussex University, 1997)
BA (Hons) "Psychology and Computer Models" (Sussex University, 1993)
I am a regular member of the programme committees for the European Conference on Artificial Life (ECAL), the International Conference on Artificial Life (ALIFE), and the International Conference on the Simulation of Adaptive Behavior (SAB), and also attend biology conferences such as those organised by the International Society for Behavioral Ecology (ISBE) and British Ecological Society (BES).