I look at the idea of play with this example, similar to your Youtube example 
video of the water droplet walkers and adds some first person cognitive "play" 
to that esthetic experience. If you can bear it pay particular attention 
towards the second half and thereafter. The whole "film" is < 12 minutes but 
might be thousands of lifetimes of observational convergent memories correlated 
across time, your attentional focus straddles extrema of Faraday wave 
convolutions when trying to move from chaotic corral of consciousness stability 
zones of glocal consciousness plateaus shifting multi and metastably.

 

https://www.youtube.com/watch?v=H6EeG43jTmo

 

Why do we like to stare into water and fire? These quantum patterns have 
harmonic properties with consciousness entropy dynamics... Multistability fits 
with conscious awareness and general intelligence. The Kelso paper puts it in 
reference to the human mind, how the brain can lock onto and process patterns. 

 

How do the complexity classes fit into an engineered general intelligence from 
a multi/metastability standpoint? For example say problems come into an AGI 
differentiated along complexity class patterns flowing in like water as graphs 
subsymbolically... I don’t know if the Kelso model should be implemented in 
software as is, or if it’s definitive enough...

 

My thoughts on "play" from the Laughlin paper is that organisms align 
themselves inter-generationally to quantum patterns... we all walk similar 
paths... follow the same invisible guides... as native Americans would allude 
to spirit whisperers of the ancestors showing us the way... And play is 
functionally similar across organisms you could look at it as foraging within 
and across species performing genetic computation.

 

John

 

From: Russ Hurlbut [mailto:[email protected]] 



 

John Rose: 

I’m wondering, does play occur on the edge of chaos? And maybe on edges of 
chaos?

 

Then, is play in an organism some biomechanical attempt to modify causal 
entropic force on the edge of chaos? Like in baseball trying to hit a single 
verses hitting a foul into the bleachers. Fouling is chaos. Hitting it in play 
is order. 

 

An enticing aspects of the article is the cross-discipline approach to 
addressing difficult problem a particular field. Perhaps such a connection can 
be made between quantum dynamics and behavioral science with respect to child's 
play. Take for example the concept of the random walk of a droplet (a great 
example can be found on youTube -  "The pilot-wave dynamics of walking 
droplets" - https://www.youtube.com/watch?v=nmC0ygr08tE#t=73 ). From a local 
perspective, the droplet behavior can be considered random/chaotic/complex - 
i.e. when considering its interaction with the guiding wave field. However an 
appearance of order emerges when considering long term statistical behavior 
described by the Faraday wave equation. 

 

Making the comparison to "play"...

 

"Play" has been characterized by one researcher as "an active and emergent 
process of engagement with the world, which encompasses exploratory processes. 
It is repetitive, but not stereotyped, and is spontaneous in nature." Both the 
droplet and a human child's play behavior has been described as exploratory, 
with emergence of regularity over the long haul. From this description, it is 
attractive to view repetitive nature as tending towards order and the 
spontaneous activity tending towards chaos. Using the baseball example above, 
perhaps both fouling and hitting is play are both representative of order when 
considering long term statistical behavior. Examples of outliers tending toward 
chaos would the more spontaneous and unexpected scenarios, such as being hit by 
pitch or not completing the at bat due to a runner getting picked off and 
ending the game. 

 

Knowing the tendency of this discussion group to pursue tangent due to failure 
to bridge a semantic gulf, there are two different dimensions of play: (a) play 
is something that children are engaged in independently or is something that 
involves others and has a didactic or pedagogic component; and (b) play is 
designed to accomplish a particular goal or is broad ranging and exploratory.  
(ref: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3842829/ )

 

Focusing on the latter dimension of "play", one word that frequently occurs 
with respect to exploratory behavior is "foraging". Rather than just 
considering this exploration-foraging association metaphorically, perhaps 
"play" itself is a form of foraging at a higher cognitive level - such that it 
is an emergent behavior in is own right. Perhaps the early split that resulted 
in primate on one branch and octopus on another only share primitive foraging 
for food as one part of the "bag of tools and parts it might need to construct 
something interesting". Then, rather than sending the instruction to "go out 
and play", the instruction is more along the lines of criticality, such as "go 
out and find metastability where you can". This design plays out in space and 
time, with ensembles of various sizes coming together and disbanding 
incessantly. The delicate balance between the two poles of integration 
(coordination between individual elements in transiently synchronized 
ensembles) and segregation (expression of individual behaviour in diverging 
neural ensembles) can be considered the "edge of chaos" where play occurs.

 

The distinction here is made between multistability and metastability. 

Multistable coordination dynamics confers a capacity on the brain to lock in to 
one of several available patterns. Metastability is the simultaneous 
realization of two competing tendencies: the tendency of the individual 
components to couple together and the tendency for the components to express 
their independent behaviour. In the metastable brain, the activity of 
individual elements obeys neither the intrinsic dynamics of the elements nor 
the dynamics dictated by the assembly.  (ref: 
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3282307/ )

 

Here are some example of how the concept of foraging has applied to higher 
cognitive functions:

 

Information foraging is a normative statistical approach to exploratory 
behavior, highlighting the specific processes that contribute to active, rather 
than passive, exploration and learning. It connects spatial conceptions of 
hippocampal function with more general memory-based approaches by supporting a 
set of processes that allow an individual to determine where to sample. 
Information directed information foraging provides a formal theoretical 
explanation for the common hippocampal substrates of constructive memory, 
vicarious trial and error behavior, schema-based facilitation of memory 
performance, and memory consolidation. (ref: 
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3404547/ )

 

...and...

 

Attention plays a role in both foraging for information and foraging for value. 
When foraging for information, attention is guided toward the unknown. When 
foraging for reward, attention is guided toward high reward values, allowing 
decision-making to proceed by accept-or-reject decisions on the currently 
attended option. Attention can be regarded as teleforaging - a low-cost 
alternative to moving around and physically interacting with the environment 
before a decision is made. Attentional foraging shifts from an 
uncertainty-driven to a reward-driven mode during the evolution of a decision. 
(ref: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3817627/ )

 

...and...

 

Complex learning may not necessarily be more adaptive than simple learning. 
Complex learning is too costly for some individuals but not for others. 
Different social foraging strategies can favor different learning strategies 
(that learn the environment with high or low resolution), thereby maintaining 
variable learning abilities within populations. Using a genetic algorithm in an 
agent-based evolutionary simulation of a social foraging game (the 
producer-scrounger game), an association evolves between a strategy based on 
independent search for food (playing a producer) and a complex (high 
resolution) learning rule - while a strategy that combines independent search 
and following others (playing a scrounger) evolves an association with a simple 
(low resolution) learning rule. For complex learning to have an advantage, a 
large number of learning steps, normally not achieved by scroungers, is 
necessary.

 

- Russ Hurlbut 

 

John Rose: 

 

 

On Sat, Dec 13, 2014 at 7:54 AM, John Rose via AGI <[email protected] 
<mailto:[email protected]> > wrote:

The paper is about engineering play a priori into systems since play is 
involved with self-organization,  attractors, emergent universality, decision 
instability, and play is inherent in many things even neurons and octopi. 
Perhaps even wiggling amoebas are having a party :) 

 

Then, is play in an organism some biomechanical attempt to modify causal 
entropic force on the edge of chaos? Like in baseball trying to hit a single 
verses hitting a foul into the bleachers. Fouling is chaos. Hitting it in play 
is order.

 

John

 

From: Jim Bromer via AGI [mailto: <mailto:[email protected]> [email protected]] 
Sent: Saturday, December 13, 2014 8:10 AM


To: AGI
Subject: Re: [agi] Physics, Emergence, and the Connectome

 

I am not really sure what he means because the polarity (or magnetic 
orientation) of a 'permanent magnet' can be reversed if an external magnetic 
field is strong enough. I think there are a few things wrong with his 
presentation. The sense that learning is not part of a computational theory of 
mind is a little far-fetched but then he seems to present play as an unexpected 
explanation without any mention of the word "learn" (other than in the 
introduction where he says, "We speak instead about learning more about the 
connections themselves and about advancing medicine (Van Essen and Ugurbil, 
2012xVan Essen, D.C. and Ugurbil, K. Neuroimage. 2012; 62: 1299–1310

CrossRef 
<http://www.cell.com/servlet/linkout?suffix=e_1_5_1_2_20_2&dbid=16&doi=10.1016/j.neuron.2014.08.006&key=10.1016%2Fj.neuroimage.2012.01.032&cf=>
  | PubMed 
<http://www.cell.com/servlet/linkout?suffix=e_1_5_1_2_20_2&dbid=8&doi=10.1016/j.neuron.2014.08.006&key=22245355&cf=>
  | Scopus (54) 
<http://www.cell.com/servlet/linkout?suffix=e_1_5_1_2_20_2&dbid=137438953472&doi=10.1016/j.neuron.2014.08.006&key=2-s2.0-84862993537&cf=>
 See all References 
<http://www.cell.com/neuron/fulltext/S0896-6273(14)00681-3#references> Van 
Essen and Ugurbil, 2012).") It seems like a major oversight.




Jim Bromer

 

On Sat, Dec 13, 2014 at 8:00 AM, John Rose via AGI <[email protected] 
<mailto:[email protected]> > wrote:

He means the properties of some things are the same everywhere, under similar 
conditions, like a water molecule’s molecular dynamics on Earth would be the 
same on another planet one million years from now…  or.. mostly the same there 
might be slight subatomic differences. But you know what he means.

 

I’m wondering, does play occur on the edge of chaos? And maybe on edges of 
chaos?

 

John

 

From: Jim Bromer via AGI [mailto: <mailto:[email protected]> [email protected]] 
Sent: Saturday, December 13, 2014 6:29 AM
To: AGI
Subject: Re: [agi] Physics, Emergence, and the Connectome

 

"The rigidity and elasticity of all solids is always the same. The special 
properties of insulators, semiconductors, and metals that allow us to make 
computers with them are always the same. The rigid orientation of ferromagnets 
is always the same."

 

Whaa...?




Jim Bromer

 

On Sat, Dec 13, 2014 at 3:16 AM, Russ Hurlbut via AGI <[email protected] 
<mailto:[email protected]> > wrote:

Here's an interesting paper that touches on some of the recurring themes 
discussed on the AGI list:

 

 <http://www.cell.com/neuron/fulltext/S0896-6273(14)00681-3> 
http://www.cell.com/neuron/fulltext/S0896-6273(14)00681-3

 

For those that care to weigh in, perhaps the perspective in this open access 
article can provide another facet to reflect on familiar topics including 
complexity, compression, and the paper's central theme - play.


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