Conferences

What makes a system 'complex'? A system can be thought of as complex if its dynamics cannot be easily predicted, or explained, as a linear summation of the individual dynamics of its components. In other words, the many constituent microscopic parts bring about macroscopic phenomena that cannot be understood by considering a single part alone. There is a growing awareness that complexity is strongly related to criticality: the behaviour of dynamical spatiotemporal systems at an order/disorder phase transition where scale invariance prevails.  Complex systems can also be viewed as distributed information-processing systems, particularly in the domains of computational neuroscience, health, bioinformatics, systems biology and artificial life. Consciousness emerging from neuronal activity and interactions, cell behaviour resultant from gene regulatory networks and swarming behaviour are all examples of global system behaviour emerging as a result of the local interactions of the individuals (neurons, genes, animals). Can these interactions be seen as a generic computational process? This question shapes the third component of our symposium, linking computation to complexity and criticality.

 The C³ 2017 Symposium will cover a diverse range of theoretical and practical approaches to computational modelling of complex systems, including information theory, agent-based simulation, statistical physics, network theory, nonlinear dynamics, swarm intelligence, evolutionary methods, artificial life, computational epidemiology, computational neuroscience, and econophysics, among others.

http://sydney.edu.au/complex-systems/events/c3symposia/c3-2017.shtml