Neural networks artificial intelligence

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Hagbard
Posts: 403
Joined: Sat Mar 14, 2015 6:07 pm

Neural networks artificial intelligence

Post by Hagbard » Sun Feb 26, 2017 9:44 am

In internet archives is a ten year old research paper of a neural networks artificial intelligence project in Australia:

"Evolving Players for an Ancient Game: Hnefatafl", Philip Hingston, Edith Cowan University, Australia, 2007
https://pdfs.semanticscholar.org/ba25/8 ... 784d7c.pdf

The paper mentions the shieldwall rule, which we use in Copenhagen Hnefatafl.

Hagbard
Posts: 403
Joined: Sat Mar 14, 2015 6:07 pm

Re: Neural networks artificial intelligence

Post by Hagbard » Sun Feb 26, 2017 9:48 am

25.2.2017 I received this email:
Hello Sir,

I'm a data scientist that was looking to work on a new side project with some collaborators: creating an AI that can play Hnefatafl from either
side. This wouldn't be by conventional heuristic means, but by feeding it the boards and moves of previous games played by humans.

The model implemented is a deep learning
<https://en.wikipedia.org/wiki/Deep_learning> one which will attempt to learn from a corpus of game data. It doesn't even have to be any
"grandmaster"-caliber game data, as even amateurs make moves based mostly in their own self-interest (at least, in the short-term).

Such efforts have been successfully implemented
<https://github.com/imthexie/giraffe> and even published
<https://arxiv.org/pdf/1509.01549.pdf> for symmetrical games like chess, but I don't find any records of this being done for asymmetric strategy
games like Hnefatafl. Besides it being less globally popular, I suspect this is because there exists no massive corpus of game data.

And this is why I contact you tonight. I stumbled across your site, and I have noticed that you have a sizable archive of games and their moves.
Might I ask that you make available this data to me and my collaborators so that we can attempt such an effort? It's not likely to succeed, but I think
it would be rewarding to give it a go. We can work with any format you provide.

In any case, this is just a side-project of ours, and if you wish to keep your hard-earned and well-curated data to yourself, I completely understand.

Many thanks for your time and consideration,

Bryan Dannowitz

Hagbard
Posts: 403
Joined: Sat Mar 14, 2015 6:07 pm

Re: Neural networks artificial intelligence

Post by Hagbard » Sun Feb 26, 2017 9:59 am

Bryan Dannowitz wrote:
creating an AI that can play Hnefatafl from either
side. ... by feeding it the boards and moves of previous games played by humans.
The model implemented is a deep learning ... one which will attempt to learn from a corpus of game data.
Hello Bryan Dannowitz,
that's an interesting project. Could it result in a neural networks robot accessible for free as an opponent for tafl players on the internet?

I would recommend to try the project on Historical Hnefatafl 9x9 (Saami Tablut) and Historical Hnefatafl 11x11 (Welsh Tawlbwrdd).
The game rules are found here:
http://aagenielsen.dk/historical_hnefatafl_rules.php
Adam Bartley did a pdf-layout of the rules here:
http://aagenielsen.dk/TaflRulesEnglish.pdf

A full extract of games between strong players are put on the net here:
Tablut games
http://aagenielsen.dk/tafl_tabluts.txt
Tawlbwrdd games
http://aagenielsen.dk/tafl_tawlbwrdds.txt


A ten year old research paper of a perhaps similar project in Australia can be found in internet archives:
"Evolving Players for an Ancient Game: Hnefatafl", Philip Hingston, Edith Cowan University, Australia, 2007
https://pdfs.semanticscholar.org/ba25/8 ... 784d7c.pdf
but this old project is probably not based on as many game data.


Good luck with the project!
Aage Nielsen, Denmark

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