Say there’s a superintelligent line of cells in a Conway’s Game of Life system (or, a line of cells whose state we can control). A small portion of the grid is configured in an unknown, random state. Can a physics gen support a way of containing the entropic part of the system that works most of the time?
I am not an expert, but I believe the fundamental difference between the physics of our universe and the rules of Game of Life is that laws in our universe are time-reversible. That makes the concept of “phase space” meaningful, and that is… somehow… related to the increasing entropy.
Game of Life is irreversible; you can go from two different configurations to the same next configuration; and there are configurations that do not have any possible previous configuration.
I am not an expert, but I believe the fundamental difference between the physics of our universe and the rules of Game of Life is that laws in our universe are time-reversible. That makes the concept of “phase space” meaningful, and that is… somehow… related to the increasing entropy.
Game of Life is irreversible; you can go from two different configurations to the same next configuration; and there are configurations that do not have any possible previous configuration.
Maybe we should look for analogies in Single Rotation Rule Reversible CAs instead then (see thread) https://twitter.com/paniq/status/1097071632185741313