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 
theoverall solution. 
My intuition tells me that there should be another, higher level of goal 
selection. (Or, perhaps goalfiltering, 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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