@nor

Haha. All you're saying is that there's a guarantee of improved fitness by increasing A as long as subassemblies on average improve fitness. That's a tautology. What this formalism is missing is that the context / environment informs the time-to-fitness. Here, you can test it easily: implement a genetic algorithm searching for the string "abababababababa". Now, randomly select a subset of letters from the English alphabet as the assembly elements A (e.g. A = {c, g, e, z}). On average, time-to-fitness will tend to decrease with each marginal element added to the assembly. I'd guess the graph looks something like this:

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