When I hear 'AI' I always imagine theres a HAL 9001 behind the scenes that is
running the show constantly admonishing its creator to "take another stress
pill"
Sounds like a fun project
Keep us apprised,
Martin Gainty
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Date: Mon, 20 Aug 2012 13:50:04 -0700
From: garotconk...@yahoo.com
Subject: Re: Machine Learning
To: webmas...@lisol.co.uk; mgai...@hotmail.com; mysql@lists.mysql.com
Ya the idea is not anything new, but must be apparently quit difficult or not a
priority as I have yet to find it already implemented anywhere... Far be it
from me to not make some attempt here anyway...
I am creating a fully automated framework from which a distributed
infrastructure can be maintained. I have been writing automation scripts/code
for some time now and the logical progression is to embark on a full concept of
systems health auto remediation. I have numerous "monitoring" solutions under
my control however none that properly
(in my opinion) implements any real learning algorithms from which to draw
even a minimalists view of automation. I like mySQL therefor began thinking
about creating the aspects (lobes) of the "brain" as a relational database(s).
So this is only one facet of what I am trying to do, however leveraging a full
command set of shell utilities/commands/programs seemed to be a good starting
point before I get into the "hard" stuff !
-Garot
garotconk...@yahoo.com
From: "webmas...@lisol.co.uk" <webmas...@lisol.co.uk>
To: 'Martin Gainty' <mgai...@hotmail.com>; garotconk...@yahoo.com;
mysql@lists.mysql.com
Sent: Monday, August 20, 2012 3:55 PM
Subject: RE: Machine Learning
Hi Garot,
You'll have to elaborate some more ... I understand you may want to protect
the idea as well, so if you can narrow it down to some technical specifics
then it'll help.
What is the objective of this system, for instance ?
Thanks,
Justin
From: Martin Gainty [mailto:mgai...@hotmail.com]
Sent: 20 August 2012 19:23
To: garotconk...@yahoo.com; webmas...@lisol.co.uk; mysql@lists.mysql.com
Subject: RE: Machine Learning
From: garotconk...@yahoo.com
Subject: Re: Machine Learning
To: webmas...@lisol.co.uk; mgai...@hotmail.com; mysql@lists.mysql.com
My initial thought was to propagate the db with everything and allow the
algorithm to then begin to determin trends/patterns
MG>which trends or patterns will you be modelling?
and begin either an indexing methodology
MG>which indexes are you considering: Unique index, primary index or foreign
index?
additional table/db creation process or both to further optimize the calls
being made
MG>optimize based on execution time or diskspace allocated, EliminatingFTS
or some other criteria?
MG>https://dev.mysql.com/doc/refman/5.5/en/optimization.html
and build in some internal levels of redundancy.
MG>what about replication
MG>http://dev.mysql.com/doc/refman/5.5/en/replication.html
I am actually approaching this with some degree of biological conception in
the multipathing within our own brains however until I have something up and
running under some substantial load however I may not get a complete
picture.
Thanks,
Garot
Interesting
Martin
_____
From: webmas...@lisol.co.uk <webmas...@lisol.co.uk>;
To: 'Garot
Conklin' <garotconk...@yahoo.com>; 'Martin Gainty'
<mgai...@hotmail.com>; <mysql@lists.mysql.com>;
Subject: RE: Machine Learning
Sent: Mon, Aug 20, 2012 7:13:25 AM
Hi Garot,
This sounds an interesting idea.
Are you looking to store all known commands and their options or are you
looking for a 'formula' for calling any unix command ?
The reason for my question is that, at the end of the day, a unix command is
just a program that is run in the operating system. Each program comes with
its own options and acceptable inputs. I don't know if there is a rule or
convention for structuring these commands.
Are you then looking to build a
system that 'knows' all commands and 'how
to' call them ?
Thanks,
Justin
-----Original Message-----
From: Garot Conklin [mailto:garotconk...@yahoo.com]
Sent: 20 August 2012 03:39
To: Martin Gainty; mysql@lists.mysql.com
Subject: Re: Machine Learning
The initial goal is to provide a working framework from which to call all
UNIX shell command combinations as the underlying storage mechanism for a
machine learning algorithm. I would like to build a completely self aware
instantiation that will maintain itself on all levels... I postulate that
the first place to start would be in determining a method for maintaining
all possible remediation combinations including the unknown to eventually be
learned from and populate new knowledge
into the database. Thank you for
the reply,
Garot
