It's worth reading Ch. 28 of Metamagical Themas in this connection (p700ff in 
the paperback ed.). Hofstadter introduces a whole bunch of games with just 
this character, and has a lots of fun with the "what if he thinks that I 
think that he thinks" type analysis. He is then disappointed when a simple 
program using game theory and random numbers beats his fancy "analytic" 
approach every time.

Josh


On Wednesday 25 April 2007 20:34, Matt Mahoney wrote:
> Suppose a machine at each time step outputs a 0 or a 1, then inputs a 0 or
> a 1 from an unknown environment.  The goal of the machine is to predict the
> next input bit.
>
> This goal is precisely defined.  It is also consistent with some popular
> definitions of intelligence.  For example, if the source of bits is English
> text, then there is currently no known algorithm that can score a lower
> error rate than the average human.
>
> However, this by itself is not a useful definition of intelligence. 
> Different algorithms will rank differently depending on the environment. 
> For example, if the action of the environment is to take the output bit b
> and feed back 1-b, then all algorithms will rank equally (un)intelligent.
>
> Now consider a ranking that does not depend on a choice of environment. 
> Two machines, A and B, are connected so that the output of each is
> connected to the input of the other with a small delay (less than 1 time
> step). Furthermore, the connection from A to B is inverted.  Both machines
> try to predict simultaneously what the other will output.  If the outputs
> match, then A wins a point.  If they differ, then B wins a point.  Can we
> say that the machine that wins the most points is more intelligent?
>
>
> -- Matt Mahoney, [EMAIL PROTECTED]
>
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