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So this suggests that in fact it is at some level not too difficult for multiway systems to reproduce our everyday perception that more or less definite things happen in the universe.
But at least in the recent history of science it has normally been assumed that the evolution of typical systems in nature is somehow much less sophisticated a process than perception and analysis.
If no linear equation is satisfied by any combination of known functions of x , however, the method fails, and it seems quite likely that in such cases secure encrypting sequences can be generated, albeit less efficiently than with systems like cellular automata.
But with less drastic perturbations, the sequence can be quite robust.
One can look at all sorts of other physical systems, but so far as I can tell the story is always more or less the same: whenever there is behavior of significant complexity its most plausible explanation tends to be some explicit process of evolution, not the implicit satisfaction of constraints.
But about a question such as what forms of organisms are likely to occur it has much less to say.
But if one looks for example at the pictures on the last couple of pages [ 442 , 443 ] the complexity of the behavior seems to preclude any less arduous way of finding such initial conditions.
It leads to the so-called twin paradox in which less time will pass for a member of a twin going at high speed in a spacecraft than one staying at rest.
For in effect any node that was associated with the particle on either one slice or the next must be updated—and the more the particle moves, the less these will overlap.
As I will discuss in the last section of this chapter , quantum mechanics tends to make one think of particles with higher momenta as being somehow progressively less spread out in space.
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