On Mon, Jan 20, 2014 at 09:53:41AM -0800, meekerdb wrote:
> 
> Except in games (like chess) you never have perfect knowledge.  The
> definition of rationality you cited recognized this by saying you
> optimised your *expected* utility.  
> But you can optimise your
> expected utility by acting unpredictably and the only way to be sure
> that your action is unpredictable is for it to be random.
> 

I don't think that was what was intended by using expectation
values. It is meant to handle unknowns, such as tomorrows weather,
or whether you opponent really is a rational player, or if not, just
how irrational they are.

In terms of chess, the utility must be some measure that approximates
the expected probability of winning the game (eg the difference
between the weighted sum of pieces own by either player), as the
actual probability is computationally intractable, even given accurate
knowledge of how rational the opponent is.

I do accept that strategies like sacrificing a queen is a rational
act, because the payoff several moves in the future is higher than
with other choices, even though the immediate utility is negative. But
to make random choices is to disregard any such analysis.

I'm not sure we can progress much further until we can come up with a
simple formal game that advantages random play, so that we can see whether
the agents are actually playing rationally when they do so. None of
the usual suspects seem to work for me - eg Iterated Prisoners
Dilemma, Minority Game, ...

Is there anybody lurking with a game theory background that can
suggest an example?

-- 

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Prof Russell Standish                  Phone 0425 253119 (mobile)
Principal, High Performance Coders
Visiting Professor of Mathematics      [email protected]
University of New South Wales          http://www.hpcoders.com.au
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