I like this work too من جهاز الـ iPhone الخاص بي
في ١٦/٠٥/٢٠١٣، الساعة ٦:٣٣ م، كتب "Boris Kazachenko" <[email protected]>: > Argh... > > > From: Piaget Modeler > Sent: Wednesday, May 15, 2013 11:59 PM > To: AGI > Subject: RE: [agi] Goal Selection > > Well, perhaps you can diagram how you propose to implement it. > I hope you will have a working implementation. > ~PM > > From: [email protected] > To: [email protected] > Subject: Re: [agi] Goal Selection > Date: Wed, 15 May 2013 17:43:37 -0400 > > 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 > > > AGI | Archives | Modify Your Subscription > AGI | Archives | Modify Your Subscription > AGI | Archives | Modify Your Subscription > AGI | Archives | Modify Your Subscription > AGI | Archives | Modify Your Subscription > AGI | Archives | Modify Your Subscription > AGI | Archives | Modify Your Subscription > AGI | Archives | Modify Your Subscription > AGI | Archives | Modify Your Subscription > AGI | Archives | Modify Your Subscription ------------------------------------------- AGI Archives: https://www.listbox.com/member/archive/303/=now RSS Feed: https://www.listbox.com/member/archive/rss/303/21088071-f452e424 Modify Your Subscription: https://www.listbox.com/member/?member_id=21088071&id_secret=21088071-58d57657 Powered by Listbox: http://www.listbox.com
