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Rafael wrote:
> ... I'm 
> actually still hoping to see an example in a "society" (whatever it 
> is) and not one that is about gas molecules or "genes": I'm looking 
> forward to being convinced of your counterintuitive and nice theory.

(Note: remember my 'theory' was merely that adding constraints on
individual action does not necessarily make the macro phenomena easier
to predict).

It never seems possible to *convincingly* demonstrate conjectures such
as this without abstracting at least a little from reality.  Thus I have
a choice of presenting either a fairly realistic example where the
conjecture is plausible but where alternative explanations abound OR
abstracting away from reality where the conjecture is more clearly
applicable.  This seems to be in the nature of generalising about
extremely complex phenomena (rather than my particular confecture).

Abstract example:  people playing 'scissors, paper, stone'.  Case 1 -
people 'play' the game but with no constraint to win, i.e. they can just
choose any action (maybe they do not even know the other's choice). 
Case 2 - they are constrained to try and win and play against a person
who, unknown to them at the start, always uses a fixed strategy.

Your task is to find the best possible model of what the subjects, en
masse, will play.  I suggest that the less constrained case (1) would
be  easier to predict because they will act, *en masse*, *as if* they
were choosing at random (one of the rare cases where this may be true). 
I guess that case 2 would be far more difficult to model *en masse*.

Real example:  Is it easier to predict the outcome of legal cases where
the judge is allowed to use his common sense more (e.g. in adoption
cases) or where the judge (and other participants) is considerably
constrained by legal precedence and explicit laws? 

Regards.

--------------------------------------------------
Bruce Edmonds, 
Centre for Policy Modelling, 
Manchester Metropolitan University, Aytoun Bldg., 
Aytoun St., Manchester, M1 3GH. UK.
Tel: +44 161 247 6479  Fax: +44 161 247 6802
http://www.cpm.mmu.ac.uk/~bruce


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