Hello,
Not sure how deep down the rabbit hole you want to go, but you might
want to take a look at ...
perhaps also the following is interesting for you:
Visualisation of Candidate Moves
http://www.althofer.de/k-best-visualisations.html
Or you may like the following art work by Tanja
It is a collection of evaluations. They are applied to each cross. Then
the cross with the highest evaluation sum is chosen.
On Sat, Aug 01, 2015 at 09:11:29PM -0700, Igor Polyakov wrote:
I'm very curious about your bot because I haven't seen how exactly it works.
What algorithm does it use to
Hi,
You can take a look at https://youtu.be/c3wbE1V4bTc
It shows the thought proces of my Go program called Stop:
http://www.vanheusden.com/stop/
Note that it is, to say the leat, rather weak.
On Sat, Aug 01, 2015 at 02:46:49PM +1000, djhbrown . wrote:
i'm looking for people with expertise in
Not sure how deep down the rabbit hole you want to go, but you might want
to take a look at convolutional neural networks and their applicability to
go, e.g.: http://arxiv.org/abs/1412.6564
They are used ubiquitously for image classification and object detection,
but people are looking at tying
I'm very curious about your bot because I haven't seen how exactly it
works. What algorithm does it use to generate moves?
On 2015-08-01 7:08, folkert wrote:
Hi,
You can take a look at https://youtu.be/c3wbE1V4bTc
It shows the thought proces of my Go program called Stop:
i'm looking for people with expertise in
art,
computer graphics
,
and/or AI software to help me make a video series about mental imagery in
Go, partly with a view to expressing mental images in the form of heuristic
rules that a program could use to generate and evaluate candidate moves.
any
