Winter School - Evolutionary Economic Systems

Complexity and economic evolution: with applications to financial markets
Speakers:  Jason Potts and John Foster
We shall present in this session an overview of the micro meso macro framework for evolutionary economic analysis, and discuss some applications to modelling coordination and change with particular attention to financial markets.

Complexity and economic evolution: with applications to financial markets (continued)
Speakers:  Jason Potts and John Foster

Computational methods in noncooperative game theory
Speakers:  Stuart McDonald
Multi-agent modelling is one common methodology in complex systems research. One multi-agent modelling methodology is game theory. Noncooperative game theory studies the way in which multiple agents interact with each other in strategic situations. Computational methods in non-cooperative game theory will be surveyed and presented in the computer lab.

How complex is sharing the cost of non-pointsource pollution?
Speakers:  Rodney Beard
Complex systems has had an interest in the properties of networks, cooperative game theory provides a methodology for analyzing resource allocation on networks. Computational issues involved in resource allocation on networks will be covered from the perspective of complexity theory with application to water resources issues and cost-sharing of pollution in the computer lab.

Phil Hugenholtz received his Ph.D. in Microbiology from the University of Queensland in 1994.  He has subsequently worked in the Department of Biology at Indiana University, the Department of Plant and Microbial Biology at the University of California, Berkeley, the Department of Microbiology at the University of Queensland, and the Computational Biology and Bioinformatics group in the Mathematics Department at UQ.  He currently leads the Microbial Ecology program at the DOE Joint Genome Institute (JGI) in the USA. His group is developing methods for analysing metagenomic datasets and applying them to a variety of communities.