Complex Iteration 

I've discovered that not only fractional iteration is possible, but also complex iteration. It's not as intuitive as fractional iteration, but it does make sense once you have a new model for what iteration means. Probably the simplest explanation is with orbitals in the complex plain: iterating to a real values generates the complex orbitals as paths. Iterating to imaginary powers, meanwhile, generates paths perpendicular to the orbitals at every point. You need the entire vector field of orbitals to know the new path. For example, iterating a linear function (multiplying by a constant) creates orbitals which are rays. Iterating to imaginary powers creates paths with are concentric circles. After that, complex iteration can be done by composing real and imaginary values. For a more precise derivation, I had to invent a new type of derivative, it looks at the instantaneous change in value at a point as the function iterates. The formula for this derivative is: 
f*(x) = lim n->0 (fn(x) - x)/n
Which is equivalent to the derivative of f's Abel function. The key about this derivative is it has the property that fn* = f x n . This enables iteration to imaginary powers to be calculated directly. Ultimately I think it is equivalent to taking the analytic extension of the Abel function, but it's a bit more intuitive than Taylor series witchcraft. I've done the calculations to arrive at Euler's identity using this method rather than the typical one, and graphically it makes much more sense: once it's understood how complex iteration works, it's just geometry to find the imaginary value e must be raised to in order to complete the arc from 1 to -1.