Celebrating 10 years in backgammon games

Gnu Backgammon vs. Snowie Openings, Part 1

by Douglas Zare
1 April 2009


Douglas Zare

Gnu Backgammon and Snowie are both extremely strong backgammon players. Some types of positions are better understood by one bot than the other. Which bot understands the opening better?

In the comments following my February 2009 column, I mentioned that Gnu Backgammon and Snowie disagree on how to play a 1-1 response to an opening 2-1 slot. Gnu hits 24/20*, while Snowie primes 8/7(2) 6/5(2). I decided to survey the disagreements between these bots in the responses to the opening roll. As a referee, I used Stick Rice's collection of rollouts in the opening. I was surprised to find that the bots disagree with each other, or with rollouts, in about 15% of positions. Most differences are too small to call errors, but a few are significant, and even a small mistake may be a sign that the evaluations are off by a larger amount.
 

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Article text Copyright © 1999-2009 Douglas Zare and GammonVillage Inc.

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2.
Subject: Re: Gnu Backgammon vs. Snowie Openings, Part 1
From: PhilSimborg   
Date: 06 Apr 2009 09:36 EST

There are many people, including me, who have less than 100 percent confidence in the answers provided by any program, particularly when you are talking about an early-game position where there are many, many moves to the end of the game. If Snowie or GNU make just one move along the way slightly wrong, particularly if that move is the next roll or two after the opening move, than all the results are suspect. My "gut" tells me that if the bots continue to improve, it is quit possible that in 10 years we will look back and say that at least some of the opening moves that you show to be right could turn out to be wrong.

My questions to you are: 1. To what degree do you think your conclusions will hold up 10 years from now? 2. If you agree that one should not apply 100 percent confidence in early-game evaluations and rollouts, would you also agree that if a player prefers a play that the bots say is wrong by less than, say, .025, it's not such a bad idea to go ahead with your preference? 3. What is your prediction for the future of bots? Are they likely to ever get to the point where we can have close to 100 percent confidence in them? If it's not 100 percent today, where, in your opinion is it? 80%? 90%?

Phil

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