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]> 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 J
>
>
>
> 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:[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]>
> 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:[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]>
> 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
>
>
>
> 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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