The University of Sydney
Monday 30 November - Friday 4 December 2015
The study of complex systems is about understanding indirect effects. Why is it necessary to study complex systems? Humans are typically inclined to use reductionist logic. To understand how a system would behave overall, or to test whether a human-made system works as it was intended to, we put it through a series of ‘short, discrete’ scenarios, expecting a ‘correct response’ to each scenario. However, complex systems do not lend themselves to short, discrete scenarios. Not all scenarios have clear endings or known, correct answers. How do we evaluate the usability of, or predict the behaviour of systems that are too complex for our typical reductionist reasoning? The answer to this question is not intuitive or trivial, and a specific skill set needs to be developed in order to answer it.
We considered a diverse range of systems, applications, theoretical and practical approaches to computational modelling of modern complex systems such as health, including information theory, agent-based simulation, network theory, nonlinear dynamics, swarm intelligence, evolutionary methods, and computational neuroscience, among others.
Theme 1: Mathematics and Simulation for Complex Systems
- 30 November, morning: Validating Simulation Models, and
Multi-Agent Systems in the Social Sciences – Prof. Robert Marks
(University of NSW), part 1, part 2, part 3
- 30 November, afternoon: Nonlinear Dynamics, Chaos Theory – Dr. Geoffrey Vasil (University of Sydney, Faculty of Science)
- 1 December, morning: Machine Learning – Dr. David Balduzzi (Victoria University of Wellington, New Zealand)
- 1 December, afternoon: Complex Networks – Dr. Markus Brede (University of Southampton, UK), part 0, part 1, part 2, part 3
Theme 2: Complex Physical Systems
- 2 December, morning: Information Dynamics, Information Theory,
Java Information Dynamics Toolkit – Dr. Joseph Lizier (University of
Sydney, Faculty of Engineering and IT), part 1, part 2
- 2 December, afternoon: Spectral methods in complex systems – Dr. Francesco Caravelli (Invenia Labs, Cambridge, UK)
December, morning: Systems Dynamics Modelling using Vensim – Prof.
Mikhail Prokopenko (University of Sydney, Faculty of Engineering and IT)
Theme 3: Health and Complex Systems
- 3 December, afternoon: Evolutionary Methods – Prof. Frank Neumann (University of Adelaide)
December, morning: Collective Behaviour and Swarm Intelligence – Prof.
Guy Theraulaz (Université Paul Sabatier, Toulouse, France), part 1, part 2, part 3, part 4, part 5
- 4 December, afternoon: Collective Behaviour: self-organization and non-linear systems – Dr. Jerome Buhl (University of Adelaide)