jj,
A question for those who are reading:
What should the word "random" mean? Does it mean "any possibility no matter however slim of a different outcome", or is it a multivalued thing, i.e. there are degrees of randomness, say like Markov Processes, or thereabouts, state machines with probabilistic transitions, etc, that can be expressed as "partially random".
I would say that the word "random" simply means "not deterministic". Systems which are "partially random", can simply be expressed as a combination of a deterministic and a random system interacting.
What do you think, should we use the word "random" for all of those, and (apparently) not distinguish between the degrees, or should we distinguish between degrees of random behavior from completely random (i.e. no correlation between events, stationary probability of outcome, etc) and completely predictable.
Of course we should distinguish between degrees. But I would say that a deterministic system is one which can be completely described by some mathematical algorithm.
For instance, if a random process is defined as r

where each output from r is gaussian with sigma 1 and mean zero, with all autocorrelations save 0th equal to zero, what do we call this process:
x( n) = alpha * x(n-1) + (1 - alpha) * r

;
For alpha = each of { 0 .9 1}
A random system, a deterministic system with a random driving, and a deterministic system. The more general system:
x

= alpha * x(n-1) + (1 - alpha) + y

;
where y

is defined to be any input that is not dependant on x

, is a deterministic system, because its behavior, given any input function y

, is completely governed by the above algorithm. If the input, y

, is random, then the
output, x

, is also random (for alpha = 0.9), but the
system is a deterministic system being driven by a random input.
Remember that the term "deterministic" refers to a mathematical ideal. The term random does not. Sure, there is a continuum between determinism and a completely unpredictable random process, but the term "random" refers to this entire interval, except for the limit of true determinism. Obviously that does not mean we should ignore the differing degrees of order in random systems, but we have other terms for doing that, such as order, entropy, correlations, etc... We can model such systems as deterministic systems with random inputs, but the overall composite system is still non-deterministic, and thus, by definition, random.
I think that this brings up an important point. Words like "deterministic" and "random", are perfectly well defined for mathematical systems, but don't really mean anything when applied to reality. As has already been mentioned, it is not possible to distinguish between a truly random system, and high-dimensional deterministic chaos. Making such claims about reality just amounts to metaphysical speculation. We can say that a
model is deterministic, or that it is random, or that the
model is a deterministic system with a random driving. But anything more than that, and we are just playing pretend.
Ian,
Wrath's request for a definition of free-will was directed at Ian and Hammegk, in response to their claim that it exists, and is neither deterministic, nor random (nor any combination thereof).
The first problem being that this is not a definition of what free-will is, but rather what it isn't. The second problem being that under any conventional mathematical definition of "random" and "deterministic", this is self-contradictory.
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I rather think you need to demonstrate this "contradiction".
See above. The mathematical definition of "random" is "not deterministic". If, when you say "free-will is neither random nor deterministic", you are using this definition, then your statement is self-contradictory. If you have some other definition in mind, then you need to present it before we can possibly address your claim about free-will.
Dr. Stupid