|
Okay, I think I get it now. Each four-sided polygon is a cell in the pump. There are twelve nucleotides, corresponding to four codons, one for each side of any hypothetical polygon cell. The cells can only coordinate and synchronize, when at least one side of every cell feeds into a resonating feedback loop. This way, through self assembly, they can orient their facets to interface correctly and combine to create the properly functioning organ. This is the manner of any automatic cellular system. Each member cell calculates its state according to the state of its neighbors for each round, generation or temporal frame of reference. Solving the problem flips a flag in the simulation, which is simply an abstraction of the game system. Rolling the dice, to revert to the chaotic state, returns the game to its initialized settings. Normally, in other automatic cellular systems, the operational state of all member cells is fully deterministic, but in this system, the evaluation to compute status for each round or generation is not whether the cells are healthy or not, but whether they’re capable of communicating an afinity for participation in coordinated tasks. Once synchronized behavior is achieved, the genome only modifies the already synchronized participation. Reversion to chaos, as an abstraction, does not make sense in living tissue, and since evolution solves for these realities, across iterative versions of tissue-organized multicellular creatures, this game introduces debug affordances to operate those concepts manually. |