Once again, I work on the level of operations, not some immutable "programs".
Level-specific comparison-evaluations convert a queue of input patterns into a
queue of template patterns, which make-up a level.
These patterns have level-specific syntax, incremented by corresponding
comparison-evaluations from the syntax of input patterns.
Levels "interact" with each other via feedforward & feedback.
My whole intro is an attempt to explain how this increase in complexity of
comparison-evaluations *begins*.
It's a 1D sequence, 2D diagram is a wrong format for such subject.
I can't explain it better unless you tell me what in my intro is not clear to
you, Michael.
From: Piaget Modeler
Sent: Wednesday, May 15, 2013 5:14 PM
To: AGI
Subject: RE: [agi] Goal Selection
Boris,
What specific programs run to create the levels of structures?
Can you diagram and label those programs?
Do the programs interact with one another?
Kindly advise.
~PM
--------------------------------------------------------------------------------
From: [email protected]
To: [email protected]
Subject: Re: [agi] Goal Selection
Date: Wed, 15 May 2013 16:46:20 -0400
The "architecture" is incremental: no blocks, just levels.
All I have is incremental-complexity comparison-evaluation operations,
explained in the intro.
Everything else is learned, that's what makes it *general*.
From: Piaget Modeler
Sent: Wednesday, May 15, 2013 1:15 PM
To: AGI
Subject: RE: [agi] Goal Selection
Perhaps architecture diagram would be a more specific term.
What architecture implements your proposed system. Can you draw it?
Thanks,
~PM
--------------------------------------------------------------------------------
From: [email protected]
To: [email protected]
Subject: Re: [agi] Goal Selection
Date: Wed, 15 May 2013 09:51:48 -0400
Michael,
> Do you have a diagram to go along with your explanation?
Depends what you're looking for. In humans, every part of the brain affects
motivation & attention.
For GI, the only useful motive is curiosity (a drive to maximize predictive
correspondence), &
"discrete components" are learned patterns, rather than built-in "modules".
The nearest thing to a diagram that I have is grouping levels of search by
incremental order of distance
between comparands:
- Comparison of adjacent inputs, forming continuous patterns of incremental
dimensionality (distance = 1):
line segments: 1D, blobs: 2D, objects: 3D, & processes: 4D. This is similar to
connected-component analysis.
- Cross-comparison across a whole queue of inputs, forming discontinuous
patterns per input.(distance->n).
These patterns are fuzzy, & their overlap is compensated by selection among
inputs to a next level.
- Comparison across a hierarchy of short-cuts to higher-level queues, generated
by feedback (distance -> nn)...:
www.cognitivealgorithm.info.
> I'm looking at attention rather than motivation.
> For me, attention is the filtering or re-prioritization of goals.
Attention is prioritizing areas of search, according to the weights assigned by
combined motives (salience).
Conscious attention is WTA mechanism, imposed by our brain-to-body bottleneck:
http://cognitive-focus.blogspot.com/2012/06/temporal-attention-span-our-dominant.html
This is irrelevant for GI because it shouldn't assume any fixed "body".
What's relevant is distributed "unconscious" attention, which is a market-like
mechanism that allocates
cognitive resources to the areas of search, in proportion to their projected
contribution to total
predictive correspondence of one's model of the environment.
> In the PAM-P2 system I have an intuition that a higher level of selection
> occurs than is explained than by basic action selection.
Right, this is a selection of "cognitive actions": prioritization of internal
search, covered above.
> Motivation is handled in PAM-P2 through the use of homeostatic variables and
> "urges",
> deltas between current and target homeostatic variable values.
That's an equivalent of my "instincts", - a supervised learning part,
irrelevant for GI per se.
> My intuition tells me that there should be another, higher level of goal
> selection. (Or, perhaps goal
filtering, not exactly sure). Something that operates above action selection
that takes into account
all the possible goals the system could have and ensures that the most
important at the current
moment are part of the agenda.
Again, you're talking about the same thing from different POVs.
"Goal" is a positive-value-charged state, or its internalized representation.
Motivation is what does this value-charging, thus determines the priority of
searching though related internal representations & external sources.
From: Piaget Modeler
Sent: Tuesday, May 14, 2013 5:56 PM
To: AGI
Subject: RE: [agi] Goal Selection
Hi Boris,
Thanks for the references. Do you have a diagram to go along with your
explanation?
That would be much appreciated. A diagram helps the explanatory cloud to be
decomposed
into discrete components.
I'm looking at attention rather than motivation. Motivation is handled in
PAM-P2 through the
use of homeostatic variables and "urges", deltas between current and target
homeostatic variable
values. For me, attention is the filtering or re-prioritization of goals. In
the PAM-P2 system I have an
intuition that a higher level of selection occurs than is explained than by
basic action selection.
In PAM-P2 there are two action selectors: the Reactor, which matches existing
solutions
to sensory stimuli, and the Deliberator which matches existing solutions with
active situations
and needs (goals). Both action selectors operate in a case based manner, where
"solutions"
are the cases. Once a solution is selected, it may generate subgoals to assist
in attaining the
overall solution.
My intuition tells me that there should be another, higher level of goal
selection. (Or, perhaps goal
filtering, not exactly sure). Something that operates above action selection
that takes into account
all the possible goals the system could have and ensures that the most
important at the current
moment are part of the agenda.
Your thoughts?
~PM
--------------------------------------------------------------------------------
From: [email protected]
To: [email protected]
Subject: Re: [agi] Goal Selection
Date: Tue, 14 May 2013 17:15:51 -0400
You're really trying to understand how human motivation works. I already posted
this, but in case you missed:
Human motivation: developmental perspective.
Motivation is all mental mechanisms that drive our behavior, in which I include
cognitive behavior: analysis, introspection, & planning for somatic behavior.
Values / motives in humans & higher animals can be divided into three broad
categories, according to the mechanism that formed or selected them:
Evolution selects instincts fit for their own propagation, innate but
subsequently modulated by usage,
Conditioning value-charges stimuli coincident with previously value-loaded
stimuli in time or space,
Cognitive curiosity searches / selects for predictive patterns, even if they
consist of value-free stimuli.
Higher mechanisms accelerate adaptive value acquisition by acting on
increasingly mediated responses: from immediate behavioral reactions to
longer-term attention, prediction, & planning.
Brain areas that implement these value-acquisition mechanisms likely evolved in
the same sequence:
Instincts, largely physiological & traceable to 4Fs, are encoded mainly in
brainstem & hypothalamus.
Conditioning is initiated by basal ganglia & limbic system, then extended &
generalized by neocortex.
Predictive curiosity is an innate driver of neocortex, which is also heavily
modulated by lower motives.
This scheme is vaguely similar to triune brain model, but in my interpretation
these substrates differ mainly in the mechanism by which they acquire values,
rather than in resulting & relatively transient motives themselves. These value
acquisition mechanisms are innate, but their relative strength varies.
Our instincts are pretty basic & similar to those of other mammals. An
excellent account of that level of motivation is Jaak Panksepp‘s “Archaeology
of Mind: Neuroevolutionary Origins of Human Emotions“. The discussion below is
mostly on conditioning & cognition: increasingly adaptive mechanisms which seem
to strengthen with our personal growth:
http://cognitive-focus.blogspot.com/2012/06/motivation-evolution-of-value.html
From: Piaget Modeler
Sent: Tuesday, May 14, 2013 4:17 PM
To: AGI
Subject: RE: [agi] Goal Selection
Getting Closer:
Top-down versus bottom up attentional control: a failed theoretical dichotomy
http://ems.psy.vu.nl/userpages/theeuwes/Trends_2012_Awh.pdf
The priority map notion is closer to what I was looking for.
I know that priorities fit in somehow.
~PM
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