I wasn't aware at that time that there has actually been some studies and speculation in this field. I came across an interesting article which highlighted some research in the field of computational evolution.
The second law of Thermodynamics suggests that in a closed system the system will move to Thermodynamic equilibrium ( move towards maximum Entropy) and will be in its maximum state of disorder. However the real world at the local scale often does not function locally as though it is a closed system and we often see order emerging from disorder - crystallisation, snowflakes etc etc.
An article in wiredscience discusses some interesting work by Guy Hoelzer which involved computational modeling of population genetics. In his own words his approach;
..involves a different approach from traditional mathematical modeling: it allows us to spread a population across a large [and uniform] space in the computer model. One thing I find is that as mutation occurs in the system, it drives genetic divergences in a spatially localized way. I get spacial self-organization. One sub-species dominates in one place; a different sub-species in another place. If I allow genetic incompatibilities to evolve through mutation, we get speciation. Speciation is a process of self-organisation of the gene pool; in this case, it's not driven by adaptation to environmental conditions.
In other words he sees evidence of the "computational organism" beginning to show evidence of speciation even without selective pressures from the environment or from interaction with other species. This begins to sound more like an emergent self organising feature of a complex system rather than the traditional Darwinian process of natural selection.
It is interesting to speculate if life may have at it's core some fundamental self-organising and diversifying principles of this nature which are then magnified by natural selective processes. Another paper at wired science makes a broader case for a further revision of current evolutionary thinking using concepts of complexity theory.
( Note to readers - you will be disappointed if you think that any of this lends weight to Intelligent Design)
Update: Here's another article about the issues of complexity