CovertLab / arrow

Stochastic simulations in python
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(Quasi) deterministic simulation option #4

Open jmason42 opened 5 years ago

jmason42 commented 5 years ago

Typical SSAs assume memoryless exponential distributions. On the opposite end of the spectrum is a sort of 'perfect memory' distribution, which always has the event occur at an exact point in time. This can be envisioned as an infinitesimal, continuous build-up of 'potential' until a threshold is passed and the event happens. Such a system is deterministic (up to the limit of simultaneous events), and may have useful properties in certain contexts; e.g. an event which is believed to occur through a series of committed sub-steps.