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Hi,
I'm developing a single dummy analysis program (Testing the capabilities of developing a program with AI). I was testing the program on some Bridge Master deals.
I saw that Level 5 A-4 it is advised to play a small diamond in trick 3.
Without entering constraints for the E-W hands my program gives (I think that I played HA first for these):
D2: 48% to make the contract; 9.40 tricks
S2: 50% to make the contract; 9.48 tricks
So, without constraints (based on 20000 deals) the play of S2 is slightly better.
...I added an extra functionality to my program to compare two cards and give the distributions where one is better than the other.
Using 2000 deals:
S3 makes and D2 fails: 2.6%; e.g.: East void D (then you can end-play W); E CA6 and HT9 (East wil get a ruff); West T97=Q8=KJT9=JT97 (an end-play is possible)
D2 makes and S3 fails: 0.7%; e.g.: East KJT7
=> So, I thought that play of D2 was not best. Now I realize that the end-plays are probably not findable at the table, but still the play of small Diamonds at trick 3 is maybe not so obvious?
With additional constraint for W hand to have 3cC my program gives:
D2: 38% to make the contract; 9.18 tricks
S2: 38% to make the contract; 9.23 tricks
=> If there is interest then I will later post a link where you can download a test version of my program.
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BBO Bridge Master Level 5 A-4
#2
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Posted Today, 07:59
I also have added analysis SD5. Then it compares cards and uses after the card the next 5 decisions Single Dummy (and after that it continues DD). Using that for 1000 analyzed deals it gets:
S3: makes 41%
D2: makes 42%
And SD adaptive for 1000 analyzed deals:
S3: makes 40%
D2: makes 42%
AI added SD Adaptive to my program and explains it:
Adaptive Single Dummy looks ahead through up to twelve later declarer/dummy decisions. A decision counts only when the double-dummy best card differs among the possible deals; forced choices or choices with the same best card in every deal do not count. After at most five such material decisions, double dummy completes the play.
It is a practical heuristic, not a model of human declarer play.
(I'm not sure with it really does
)
S3: makes 41%
D2: makes 42%
And SD adaptive for 1000 analyzed deals:
S3: makes 40%
D2: makes 42%
AI added SD Adaptive to my program and explains it:
Adaptive Single Dummy looks ahead through up to twelve later declarer/dummy decisions. A decision counts only when the double-dummy best card differs among the possible deals; forced choices or choices with the same best card in every deal do not count. After at most five such material decisions, double dummy completes the play.
It is a practical heuristic, not a model of human declarer play.
(I'm not sure with it really does
)
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