Bill Spight wrote:OK. Thermographs do two things. The thermograph of a game finds the mean value of the game, and it finds the result of minimax play in the game, starting with each player, at each temperature.
What else does your skeptic desire?
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The game above looks like G1 = {{+22|-6},-3|-7}
And my goal is to compare this game G1 with the game G2 = {-3|-7}
In order to do this comparaison I decide to build various environments E
i made of simple gote areas.
Formely you can write E
i = {g
i,1|-g
i,1} + {g
i,2|-g
i,2} + ...
In addition because I do not need high temperatures I may assume g
i,j <= 5
Now to compare G1 and G2 I decide to compare the score of the games
{G1 + E
i} and {G2 + E
i}
Finaly, in order to get a good result I take a very large number of E
i, one million if you want but a finite number to be able to calculate a mean value.
The point is the following: unless I am wrong you have
∀i, score(G1 + E
i) >= score(G2 + E
i)
and ∃i, score(G1 + E
i) > score(G2 + E
i)
and this implies that
mean(score(G1 + E
i)) > mean(score(G2 + E
i))
and as a consequence I expected to see meanValue(G1) > meanValue(G2)
but we have meanValue(G1) = meanValue(G2) = 2
I know that with the ideal (monster?) environment E
ideal we have
score(G1 + E
ideal) = score(G2 + E
ideal)
but when I take the average on a very large number of real environments G1 looks stricly better than G2.
I do not feel it is skepticism Bill. Maybe it is only that I expected more from the theory ?