Hello, all!.. In our current research, we are exploring a team of diverse Computer Go players that vote together at each step of 9x9 games. We are using Fuego, GnuGo, Pachi and MoGo. We show in our work that a diverse team of players can play better than the best player, and also better than a team made of copies of the best player (in some cases). The difference between the diverse team and the uniform team is statistically significant, but not that big in a practical sense. The diverse team can also play better than the "locked" version of parallelized Fuego (but not the "lock-free" one).
If you are interested, please take a look in our papers!.. I will publish at IJCAI 2013, the paper is available at http://teamcore.usc.edu/papers/2013/ijcai13.pdf. There is also a similar version that I published in the COIN workshop (one of the workshops at AAMAS). It is a similar paper, but has a longer results section. The workshop paper is available at http://teamcore.usc.edu/people/sorianom/coin2013.pdf. Comments are very welcome!.. :) (The online appendix for the IJCAI paper is not available yet). I presented a demo at AAMAS 2013, the video is available at https://www.youtube.com/watch?v=PswMwnkpsWA. The software is not available yet for public download, I still have to fix some details for it to run in any computer, but you can contact me if you are interested. Darren Cook, sorry I didn't cite your paper (A Human-Computer Team Experiment for 9x9 Go) in the end... :( It was in my original draft, but then the paper got rejected and the reviewers complained that my related work session was too confusing. As we decided to focus the paper as a contribution to "team formation" rather than a contribution to "computer go", we had to remove some of the references and focus more on papers that would be related to "team formation", "voting", etc... I am sorry about that. I tried to cite your paper again in a submission to the workshop in Computer Games at IJCAI, but then it got rejected again..... Thanks, Leandro
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