suprised said:
Fra said:
Then, it would be much better to have an approximation of hte differential equation, that may be less accurate but a least computable.
This is precisely what I doubt for the reasons explained above.
Mmm.. This thread is getting about as stirred up as one could expect. I had to rethink what exactly we are discussing here.
About the chaotic dynamical systems I agree, I have nothing to add there.
For me, in the inference perspective I've chosen, a theory is an interaction tool = an inference model, not an ontological statement of reality. So a theory in this sense is valued after how well it serves it's purpose as an interaction tool.
I consider the theory, to be part of the hidden prior information. Theory is like "condensed" information. This doesn't mean it can't melt down and revise.
A theory that doesn't allow computations of expectations with reasonable effiency, are simply useless.
An inference system based on a complex dynamical system sensitive to initial conditions are simply uselsess and lack of predictive value unless a solution can be computed. Then encoding such a model is a waste of resources. The more fit inference would probably be based on statistical models and finding the stable macroscopic variables.
So what's important is not just computability, but computing effiency as well.
Clearly for a computer with limited time and memory, the set of computable algorithms are smaller. This is why computability in the physical sense, must be depend on the observer. There is IMO, not objective meaning of what's computable and what's not, that's what I mean with treating a theory as an interaction tool for a given observer.
The idea (IMHO) is that this relative computability, is that a given observer is simply indifferent to any non-computable causations, and this idea may also explain unification in the sense that the set of possible interactions are bound to shrink as we scale down the computational complexity. Also some "interaction types" are simply invisible to a sufficiently "simple" observer, since it can never compute and hence infer it's existence.
When I insist on this computability, I don't mean that the entire universe is computable in the sense of a gigantic cellulaor automata. This is what some other people thing, but it's not what I talk about. I see it as interacting systems where EXPECTATIONS follow cellular automata, but where some things are simply not computable.
OK, maybe his is the confusion: With computable, then I mean that EXPECTATIONS are computable. I do not mean that ACTUALY evolution is computable. The Actual future is always in principle non-computable, from the point of view of a given observer. But the trick is that I think that the actions of any system only responds to it's expectationsof the future, not to the actual future.
I feel like I just get deeper into the mud or mutual confusion here so may I should stop. Maybe we can consider this thread a collective painting.
/Fredrik