Are there systematic ways to do 1 formally based on Landeuer Principle or something?
Your ideas have put a number of thoughts in my mind. For instance, what is the smallest probabilistic compositional reward optimizer? What priors should it get for compositional self organization? Does it work better with centralized infrastructure that spawns an architecture?...
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Should we optimize for a version of free energy minimization over entire architecture, or would that emerge over a simple individual feeding function and a centralized reward allocator? What are implications for human societies, or are these already approximating good solutions?
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I also wonder how much we should rely on physics for tiling. In principle, we can arrange all tiles in a line and let them learn a routing protocol that tiles into a lattice of arbitrary dimensionality. Physical neighborhoods are inflexible but give us the first dims for free.
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