At 2/3/02, you wrote: >It has been conventional wisdom that the fundamental laws of physics are >not invariant under parity. Now, the computational complexity of a model >that lacks mirror symmetry is much larger than a similar mirror symmetric >model. It would thus be very strange if Nature is indeed not invariant >under parity.
I see no reason at this point to consider the evolution of a universe as ever being a complex algorithmic computational exercise. Using a different way of trying to explain my approach: In my approach the evolution is similar to a matching exercise between the possible next states of a universe as represented by finite bit strings and the current set of an endless series of randomly selected infinite bit strings presented by the underlying informationless system. The members of the set of currently presented infinite strings is in constant random flux. If a section of any of the current set of infinite bit strings presented by the system has a sub string that matches one of the possible next state bit strings of a universe then that universe has a next state. If not that universe is extinguished. Sort of a survival of the fit. To survive for many state transitions a universe has to allow the input of new information as true noise. The matching exercise is like a cellular automaton with true noise. Properly implemented cellular automata do their computation locally with just a few steps. Actually the "computation" in my approach is just working a lookup table. The evolution of a universe would always be as if run on an immense parallel computer of just the right configuration so as to precisely accommodate the current state of a universe plus noise. The new match would have to be made before the infinite string supporting the current match for that universe vanished from the set of presented strings. The arrangement of parallel table lookups in local cells and limited duration of the match search causes successful evolving universes to have at least a minimum amount of allowance for the input of true noise. Hal
