I had similar feelings about William Pearson's recent message aboutsystems that use reinforcement learning: A reinforcement scenario, from wikipedia is defined as "Formally, the basic reinforcement learning model consists of: 1. a set of environment states S; 2. a set of actions A; and 3. a
Richard, Can you explain differently, in other words the second part of this post. I am very interested in this as a large part of an AI system. I believe in some fashion there needs to be a controlling algorithm that tells the AI that it is doing "Right" be it either an internal or external human
James,
It is a little hard to know where to start, to be honest. Do you have a
background in any particular area already, or are you pre-college? If
the latter, and if you are interested in the field in a serious way, I
would recommend that you hunt down a good programme in cognitive
On 09/06/06, Richard Loosemore [EMAIL PROTECTED] wrote:
Likewise, an artificial general
intelligence is not a set of environment states S, a set of actions A,
and a set of scalar rewards in the Reals.)
Watching history repeat itself is pretty damned annoying.
While I would agree with you
Richard, I am a grad student and have studied this for a number of years already. I have dabbled in a few of the areas, but been unhappy in general with most peoples approaches as generally too specific (expert systems) or studying fringe problems of AI. I have been spending all my time reading
On 01/06/06, Richard Loosemore [EMAIL PROTECTED] wrote:
I had similar feelings about William Pearson's recent message about
systems that use reinforcement learning:
A reinforcement scenario, from wikipedia is defined as
Formally, the basic reinforcement learning model consists of:
1. a
Will,
Comments taken, but the direction of my critique may have gotten lost in
the details:
Suppose I proposed a solution to the problem of unifying quantum
mechanics and gravity, and suppose I came out with a solution that said
that the unified theory involved (a) a specific interface to
Yan King Yin wrote:
We need to identify AGI bottlenecks and tackle them systematically.
Basically the AGI problem is to:
1. design a knowledge representation
2. design learning algorithms
3. fill the thing with knowledge
The difficulties are:
1. the KR may be inadequate, but the designer
On 5/30/06, Yan King Yin [EMAIL PROTECTED] wrote:
We need to identify AGI bottlenecks and tackle them systematically.
Basically the AGI problem is to:
1. design a knowledge representation
2. design learning algorithms
3. fill the thing with knowledgeWhat do you expect it to do after that? Or do
