Statistical Physics and Complexity
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Statistical physics considers how many microscopic entities (be they atoms, molecules, bacteria, vehicles, etc.) may produce macroscopic phenomena. The central challenge of statistical physics in the twentyfirst century is to describe nonequilibrium systems where the traditional assumptions of thermal equilibrium and the thermodynamic limit may no longer hold. Compared to equilibrium systems, one is still very much in the dark about nonequilibrium systems. Yet nonequilibrium systems are allpervasive in nature: complex or biophysical systems require the approaches of nonequilibrium statistical mechanics as do the states of open quantum systems. Here in Edinburgh we conduct a wide programme of fundamental work on model systems which addresses the many novel principles of nonequilibrium physics. Our work also has direct relevance to a wide range of other disciplines, for example, biology, ecology and linguistics.
Items in this Collection

Monte Carlo simulation of and active interface with diffusing activators
C source code for a Monte Carlo simulation of a system of particles diffusing onto a fluctuating interface. This code has been developed in the context of my PhD project and it simulates a stochastic process I built to ... 
Word learning under infinite uncertainty  Simulation codes and sample output
These are codes to simulate the three models of word learning described in the paper "Word Learning Under Infinite Uncertainty" by R A Blythe, A D M Smith and K Smith, to appear in Cognition. These codes can be used to ...