[Computer-go] re Mental Imagery

2015-09-04 Thread djhbrown .
> Many Faces of Go gives reasons for its moves after fact.  It reasons about
> the position using go proverbs, life and death analysis, group strength and
> connection information, etc.  If you have a copy, you can ask it to explain
> its reasons for making a move.
>

Many Faces of Go is a proprietary program; is there a description of how it
works and/or some samples of its type of explanation in the academic
literature or elsewhere in the public domain?

This approach has been explored thoroughly and it doesn’t work.
>

I will address this issue in a future video.

Do have a plan to write some code or this just philosophy?
>

i am starting out on step 1 of an iterative design process and posting to
this forum in the hope of exchanging scientific/engineering ideas.  i
started programming in 1965;  on finishing my PhD on machine learning in
1975, i was happy to thereafter leave the taxing work of producing code to
younger and more energetic minds.


For this to work, group strength and connection status must be a) assessed
> meaningfully and b) applied meaningfully within a broader conceptual
> framework.
>

agreed

What were your definitions for group strength and connection status, for
> what purposes did you use them and how did you apply them?
>

Many years ago, John McCarthy (who coined the phrase "Artificial
Intelligence") complained that there were too many AI papers of the "look,
Ma, no hands!" type.  He is one of my gurus, and i agree with him.  i am
not presenting a "fait accompli"; i am starting out on step 1 of an
iterative design process and posting to this forum in the hope of
exchanging scientific/engineering ideas.

my videos are intended to be thought-provoking to a general audience
​,​
  to interest newcomers in Go
​, and to prompt an exchange of ideas on software representation models​
; if they fail to
​catch your imagination, please do not watch them and ignore my postings.
if you wish me to be excised from this listserv, you can petition its
moderator.

i asked three strong players to glance at "what do you see?" for a couple
of seconds and share their thoughts on what they saw with me; i had thought
it was a simple situation to use as an initial experiment but was surprised
to find that they had three different views of the position and three
different forecasts (dead, probably ko, and seki).  it would be interesting
to see what a strong program makes of it.  given that it is less than 9x9
in scope, i would expect a Monte-Carlo player to be able to find a good
solution.  if more than one program owner tries it, they could compare
notes.
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Re: [Computer-go] re Mental Imagery

2015-09-04 Thread Gonçalo Mendes Ferreira

(Hello, I'm new to this mailing list)

Some of the things you say remind me of Mentifex style AI ramblings, but 
again, I did enjoy what I watched of the videos, so it's at least 
entertaining in a weird way even if it doesn't produce any breakthrough 
in computer Go.


Try mixing some weird music and making longer videos, I'd like to have 
longer moments of trance.


On 04/09/2015 13:29, djhbrown . wrote:


Many Faces of Go gives reasons for its moves after fact.  It
reasons about the position using go proverbs, life and death
analysis, group strength and connection information, etc.  If you
have a copy, you can ask it to explain its reasons for making a move.


Many Faces of Go is a proprietary program; is there a description of 
how it works and/or some samples of its type of explanation in the 
academic literature or elsewhere in the public domain?


This approach has been explored thoroughly and it doesn’t work.


I will address this issue in a future video.

Do have a plan to write some code or this just philosophy?


i am starting out on step 1 of an iterative design process and posting 
to this forum in the hope of exchanging scientific/engineering ideas.  
i started programming in 1965;  on finishing my PhD on machine 
learning in 1975, i was happy to thereafter leave the taxing work of 
producing code to younger and more energetic minds.



For this to work, group strength and connection status must be a)
assessed meaningfully and b) applied meaningfully within a broader
conceptual framework.


agreed

What were your definitions for group strength and connection
status, for what purposes did you use them and how did you apply them?


Many years ago, John McCarthy (who coined the phrase "Artificial 
Intelligence") complained that there were too many AI papers of the 
"look, Ma, no hands!" type.  He is one of my gurus, and i agree with 
him.  i am not presenting a "fait accompli"; i am starting out on step 
1 of an iterative design process and posting to this forum in the hope 
of exchanging scientific/engineering ideas.


my videos are intended to be thought-provoking to a general audience
​ ,​
  to interest newcomers in Go
​ , and to prompt an exchange of ideas on software representation models​
; if they fail to
​ catch your imagination, please do not watch them and ignore my 
postings.  if you wish me to be excised from this listserv, you can 
petition its moderator.


i asked three strong players to glance at "what do you see?" for a 
couple of seconds and share their thoughts on what they saw with me; i 
had thought it was a simple situation to use as an initial experiment 
but was surprised to find that they had three different views of the 
position and three different forecasts (dead, probably ko, and seki).  
it would be interesting to see what a strong program makes of it. 
given that it is less than 9x9 in scope, i would expect a Monte-Carlo 
player to be able to find a good solution.  if more than one program 
owner tries it, they could compare notes.











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