On Tue, Sep 12, 2006 at 08:47:04PM -0700, Brent Meeker wrote:
> 
> So that would imply that when predicting states at some fixed finite time in 
> the 
> future there is a smallest, non-zero probability that is realizable.  So if 
> our 
> prediction, using continuum variables as an approximation, indicates a 
> probability 
> lower than this value we should set it to zero??
> 
> Brent Meeker

That is one very common way of mapping continuum models to discrete
variables. Another way is probabilitistic assignment, where a value of
0.3 has a 70% chance of being mapped to 0 and 30% chance of being
mapped to 1. See my paper "Population models with Random
  Embryologies as a Paradigm for Evolution" Complexity International,
  2 (1994).

Of course these two possibilities do not exhaust the space!

Cheers

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