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Modelling and reasoning about complex agent-based networked systems, such as the Internet, financial markets and biological systems

Supervisor

Suitable for

MSc in Computer Science

Abstract

These projects would involve either theoretical or applicative modelling of agent-based networked systems. Theoretical questions which could be addressed include investigating the impact of the agent capabilities in terms of information processing and transmission capabilities on the system's properties. Applicative modelling includes either using existing tools to model and analyse specific case-studies, or implementing tools for modelling and/or reasoning about agent-based networked systems.

Prerequisites:

Strong analytical and/or programming background. Intelligent Systems I and/or II and Machine Learning would be useful.

Preliminary References

  1. M. E. J. Newman, The structure and function of complex networks. SIAM Review 45, 167-256 (2003).
  2. S. H. Strogatz, Exploring complex networks. Nature 410, 268-276 (2001)
  3. R. Albert and A.-L. Barabasi, Statistical mechanics of complex networks. Rev. Mod. Phys. 74, 47.97 (2002)
  4. ??S. N. Dorogovtsev and J. F. F. Mendes, Evolution of networks. Advances in Physics 51, 1079.1187 (2002)
  5. V. Grimm, et al., Pattern-Oriented Modelling of Agent-Based Complex Systems: Lessons from Ecology, Science, 11 November 2005: Vol. 310. no. 5750, pp. 987 - 991.
  6. Bullock, S. and Cliff, D. (2004). Complexity and emergent behaviour in ICT systems. Tech. Rep. HP-2004-187, Hewlett-Packard Labs.
  7. M.J.Wooldridge, An introduction to multiagent systems, Wiley 2002.

Please feel free to contact Dr Ani Calinescu to discuss any of these project topics in more detail.