(Today) 1. All algorithms narrow the range of possible results. 2. Material evol

(Today)
1. All algorithms narrow the range of possible results.
2. Material evolution largely expands the range of possibilities.
3. Genetic evolution largely limits the range of expansion.
4. Neuronal evolution (economies) narrow the range but expand the depth.

My point being that there is INFORMATION in the organization of the structure of compounding cooperation between cells that produces oddly adaptive and coherent results while allowing some variation that may lead to advantage or adaptation – or may fail.

The question is, why don’t more embryos fail? Why is it that despite mutations, so many embryos succeed?

The answer is that life can be understood at the lowest level as constructed of machines (molecules and proteins).

But that the adaptive process is possible across the entire organism from the individual cell to the entirety of the body and mind.

This information is far more complex than our original ‘mechanical’ understanding of genetics assumed.

Everything adapts both outward and inward – until the demand for adaptation exceeds the limit of adaptability.

Assemblies, cells, organs, systems, the collection of systems we call teh body, as well as the mind, form a vast cooperative and adaptive network.

The question we have is, how is that information stored? Well, it’s stored as neurons store information: by stable relations.

But that isn’t very satisfactory. And that’s the problem we (the sciences) are trying to solve.