Showing posts tagged: research
My and Attila Egri-Nagy’s third collaborative research article, Advancing Human Understanding with Deep Learning Go ai Engines has now been published, and is readable behind the above link.
More recently, me and Attila have been gearing our research more towards how to best make use of the availability of superhuman ai from our previous focus of identifying ai-assisted cheating. Although the latter is still interesting, we have found the task to be rather difficult, whereas quantitative and qualitative research on the former has much more low-hanging fruit available.
Recently, my and Associate Professor Egri-Nagy’s second go paper, The Game Is Not over Yet – Go in the Post-AlphaGo Era passed its peer review and got published in the Philosophies open access journal. You can read the article here.
Most of the main content in the article is by Mr Egri-Nagy, but I am responsible for the parts that relate to stronger go players’ point of view. There are also a few tangents to my Bachelor’s thesis, which I was happy to build on.
I am happy to report that my and Attila Egri-Nagy’s research ‘Derived metrics for the game of Go – intrinsic network strength assessment and cheat-detection’, which I linked on nordicgodojo.eu roughly a month ago, just passed peer review and will be presented in the CANDAR’20 symposium.
Given that we got promising early results and that the subject is …
I wrote this bachelor’s thesis originally in Finnish in October 2013 and posted its English version on gooften.net on November 1, 2013. Its language has been slightly modified and improved for this re-posting on nordicgodojo.eu.
Expertise is a topical subject in our ever-changing society. This study set out to find what expertise means and how an individual’s expertise …
Since March this year, I have been collaborating with Associate Professor Attila Egri-Nagy of the Akita International University on go-related studies, with anti-cheating algorithms as my main interest.
Now, our first, preliminary study on manual anti-cheating analysis as well as intrinsic network strength assessment has been published. Note that this paper has not yet been peer reviewed. Me and Mr Egri-Nagy have a lot of work ahead of us, but the research does show some promise: we have already successfully employed the method described in catching cheating go players.