Cognition Is (and isn't):

What is really going on in cognition, thinking, intelligence, processing?

At base cognition is two things:

1. Physical storage of an abstraction

2. Processing across that abstraction

Key to an understanding of cognition of any kind is persistence. An abstraction must be physical and it must be stable. In this case, stability means, at minimum, the structural resistance necessary to allow processing without that processing undoly changing the data's original order or structural layout.

The causal constraints and limits of both systems, abstraction and processing, must work such that neither prohibits or destroys the other.

Riding on top of this abstraction storage/processing dance is the necessity of a cognition system to be energy agnostic with regard to syntactic mapping. This means that it shouldn't take more energy to store and process the string "I ate my lunch" than it takes to store and process the string, "I ate my house".

Syntactic mapping (abstraction storage) and walking those maps (abstraction processing) must be energy agnostic. The abstraction space must be topologically flat with respect to the energy necessary to both store and process.

Thermodynamically, such a system, allows maximum variability and novelty at minimum cost.

What if's… playing out, at a safe distance, simulations, virtualizations of events and situations which would, in actuality, result in huge and direct consequences, is the great advantage of any abstraction system. A powerful cognition system is one that can propagate endless variations on a theme, and do so at low energy cost.

And yet. And yet… syntactical topological flatness carries its own obvious disadvantages. If it takes no more energy to write and read "I ate my house" than it does to write or process the statement, "I ate my lunch", how does one go about measure validity in an abstraction? How does one store and process the very necessary topological inequality that leads to semantic landscapes… to causal distinction?

The flexibility necessary in an optimal syntactic system, topological flatness, works against the validity mapping that makes semantics topologically rugged, that gives an abstraction syntactic fidelity.

This problem is solved by biology, by mind, though learning. Learning is a physical process. As such it is sensitive to the direction of time. Learning is growth. Growth is directional. Growth is additive. Learning takes aggregate structures from any present and builds super-aggragate structures that can be further aggregated in the next moment.

I will go so far as suggesting that definitions of both evolution and complexity are hinged on the some metric of a system to physically abstract salient aspects of the environment in which it is situated. This abstraction might be as complex as experience stored as memory in mind, and it may be as simple as a shape that maximizes (or minimizes) surface area.

A growth system is a system that can not help but to be organized ontologically. A system that is laid up through time is a system that reflects the hierarchy of influence from which its environment is organized. Think of it this way, the strongest forces effecting an environment will overwhelm and wipe out structures based on less energetic forces. Cosmological evolution provides an easy to understand example. The heat and pressure right after the big bang only allow aggregates based on the most powerful forces. Quarks form first, this lowers the temperature and pressure enough for sub atomic particles, then atoms. Once the heat and pressure is low enough, once the environmental energy is less than the relatively weak electrical bonds of chemistry, molecules can precipitate from the atomic soup. The point is that evolved systems (all systems) are morphological ontologies that accurately abstract the energy histories of the environments from which they evolved. The layered grammars that define the shape and structure (and behavior) of any molecule, reflect the energy epochs from which they were formed. This is learning. It is exactly the same phenomenon that produces any abstraction and processing system. Mind and molecule, at least with regard to structure (data) and processing (environment), are the result of identical process, and as a result, will (statistically) represent the energy ontology that is the environment from which they were formed.

It is for this reason that the ontological structure of any growth system is always and necessarily organized semantically. Regardless of domain, if a system grew into existence, an observer can assume overwhelming semantic relevance that differentiates those things that appeared earlier (causally more energetic) from those things that appeared later (causally less energetic).

This is true of all systems. All systems exhibit semantic contingency as a result of growth. Cognition system's included (but not special). The mind (a mind, any mind), is an evolving system. Intelligence evolves over the life span of an individual in the same way that the proclivity towards intelligence evolves over the life-span of the species (or deeper). Evolving systems can not be expressed as equation. If they could, evolution wouldn't be necessary, wouldn't happen. Math-obsessed people have a tendency to confuse the feeling of the concept of pure abstraction with the causal reality of processing (that allows them to experience this confusion).

Just as important, data is only intelligible, (process-able, representative, model, abstraction) if it is made of parts in a specific and stable arrangement to one another. The zeroith law of computation is that information or data or abstraction must be made of physical parts. The crazies who advocate a "pure math" form of mind or information simply sidestep this most important aspect of information. This is why quantum computing is in reality something completely different than the information-as-ether inclination of the duelists and metaphysics nuts. Where it may indeed be true that the universe (any universe) has to, by principle, be describable, abstract-able by self consistent system of logic, that is not the same what's so ever as the claim that the universe IS (purely and only) math.

Logic is an abstraction. As such it needs a physical realm in which to hold its concepts as parts in steady and constant and particular relation to each-other.

My guess is that we confuse the FEELING of math as ethereal and non-corporal pure-concept with the reality which of course necessitates both a physical REPRESENTATION (in neural memory or on paper or chip or disc) and a set of physical PROCESSING MACHINERY to crawl it and perform transforms on it.

What feels like "pure math" only FEELS like anything because of the physicality that is our brains as copular machinery as they represent and process a very physical entity that IS logic.

We make this mistake all day long. When the only access to reality we have is through our abstraction mechanism, we begin to confuse the theater that is processing with that which is being processed and ultimately with that which that which is being processed represents.

Some of the things the mind (any mind) processes are abstractions, stand-ins for other external objects and processes. Other things the mind processes only and ever exist in the mind. But that doesn't make them any less physical. Alfred Korzybski is famous for declaring truthfully, "The map is not the territory!" But this statement is not logically similar to the false declaration, "The map is not territory!". Abstractions are always and only physical things. The physics of a map, an abstraction system, a language, a grammar, is rarely the same as the physics of the things that map is meant to represent, but the map always obeys and is consistent with some set of physical causal forces and structures built of them.

What one can say is that abstraction systems are either lossy or they aren't useful as abstraction systems. The point of an abstraction is flexibility and processing efficiency. A map of a mountain range could be built out of rocks and made larger than the original it represents. But that would very much defeat the purpose. On the other hand, one is advised to understand that the tradeoff of the flexibility of an effective map is that a great deal of detail has been excluded.

Yet, again and again, we ourselves, as abstraction machines, confuse the all too important difference between representation and what is represented.

Until we get clear on this, any and all attempts at merely squaring up against the problem of machine intelligence will fail.

[more later…]

Randall Reetz

Social Media… Amplifying The Inner Sheep

In the early days of computing, those involved were pioneers, innovators, original thinkers, the super-passionate, driven by curiosity and the purity of adventure. These were a strong people. Proud. And though it sounds precious to say so, the early computing pioneers were not unlike other gritty pioneers in that they enjoyed being out well beyond the known, striding forward where there was no trail, no strength in numbers, no peer support, no mentors, no accepted pattern.

Now? Well now that computers have become ubiquitous, now that everyone has one, uses one like they use a knife and fork, the pioneers have long since been replaced by Plumber Joe, by the middle of the bell curve, by everyman and everywoman and their kids.

The computer industry is market driven! I hate that it has taken me this long to recognize the importance and implications of this now overwhelmingly obvious and simple fact. The diffusion of computers into the daily routine of the entire population has resulted in a dramatic shift in the demand landscape that informs what computing becomes. The market for computing is its users. The user today, the average user, is a whole different animal than the user/creator that defined its early history. Those of us that jumped in early probably resist the idea that what we care about really doesn't matter anymore. Though it might be true that knowledge and a deeply theoretical bases for that knowledge still matters, from a consumer market demand perspective, we grey hairs are simply invisible. The fact that we nerds ever defined a market for anything at all is the more surprising historical footnote. It is a bittersweet realization, that success of our industry would of mean the marginalization of its founders.

In every grade school class I attended there were a few kids (one or two) who were driven by a passion to know, to understand, to create. The rest, well the rest excelled at a completely different set of skills, getting through the day, unnoticed, blending in. The two groups couldn't be more different. The inquisitive few were internally driven. The rest were driven by the outward demands of success as defined by the curve. The inventive minds competed against their own ability to invent. The rest competed amongst themselves over the coveted 60 percentile that would define passing the class.

The computing market is now dominated by that larger part of the human population that defines success as climbing (which ever way possible) on top of the 60 percent of the population (of other social climbers) that makes up the bulk and center of any bell curve. As kids, these were the people who spent most of their time comparing themselves to the kids next to them. Looking over their shoulder at the other kid's test answers. Studying together so that they knew the base line before they got to the actual test. I say "climb to the top" but the word "top" when describing a bell curve does a disservice to the real meaning of averages. What we call the top of a bell curve is really the center of a frequency distribution. Climbing to the top is really a struggle to get into the center. Like fish trying to avoid a shark, there is a natural human tendency away from being alone, away from the vulnerability that is the open water that is original ideas and behavior. As a result, we constantly seek the protection of others. Each of us, as humans, spend a good deal of our energy trying to determine and then contort our behavior to that which best describes the center of normative behavior and attitude.

The similarities between schooling fish and human socialization pressures are profound. But there is one important difference. Where fish seek the center to avoid the teeth and gut of another species, the predator we humans work so hard to avoid is us, is public ridicule, being seen as different, standing out! We are in a very real sense both sheep and the sheep dogs nipping at the the sheep's legs. It is obvious that evolutionary pressures have conspired to build into our brains at least two modes of processing and that they are, at least at times, antagonistic. One is a great big "what if?" simulator, a novelty machine… the other, a social manors restriction system that cautions at the point of pain, behavior the least bit novel or different.

I have traversed the usual nature/nurture, cultural/evolutionary minefields. What I come to is this; traits that exist universally across most cultures and experienced many times within each individual's life, are most probably behaviors that have a significant genetic/physical component... are common regardless of our developmental environment and experience. Humans are obviously capable of profound novelty and abstract pattern analysis. But there is also a pervasive behavioral overlay of social control of which we are simultaneously, willing participant, and victim. What is confounding is the extent to which each system interferes with the function and success of the other… and that they are so diametrically opposed.

With regard to schooling (and herding) behavior, that which we share in common with fish (and sheep), is an indifference to where the school is, in which direction it is moving, and how fast. Under the social threat that triggers schooling, all that matters is that each of us as individuals finds our way as close as possible to the center. Humans will go along with almost any plan so long as social grouping allows us to avoid being seen as different. Obvious examples: Nazi Germany, Slavery in the southern U.S., the Nanking Sex Trade, etc.

As computers have been made "user friendly" and as the cost of ownership has dropped, this center of the bell curve, this mad fight for self-similarity that defines who we are as a species, this reflection and homogenization of the greater us, has become the market for computing. Which makes sense. Diffusion and all. But the whole history of modern computing is so short, just 40 years now, that it is surprising and a bit of a shock to realize finally that from a market perspective, computing is a mature industry. How could an industry just a generation old have transited already from go-it-alone pioneer to "I'm Love'n It" average?

The implications are huge. In particular, this insight brings social media into sharp ironic focus. Social media brings to computing the same access to community monitoring and control that gossip and storytelling brought to the camp fire. It is to computing what cheating off of your neighbor's test is to being a kid. As a person who likes to think of himself as a pioneer, I have reacted in horror, disbelief, and frustration to what has looked like fifteen years of computer industry regression.

If you accept that computers, like minds, are abstraction (language) machines, then it makes sense to wonder to what extent the human brain has suffered the same evolutionary pressure towards social assimilation and at least plausibly, away from innovation and novelty. To what extent is the rarity of the product of profound human creativity a reflection of actual physical and logical limits on and causal costs to creativity itself, and to what extent is the same rarity a product of evolutionary molded physical properties of the brain that conspire to restrict the production of novelty as a result of even greater survival pressure to promote behaviors that honor social cohesion?

If the current overwhelming trend that sees the computer as more of a social monitoring mechanism, and less a creative tool, is a trend that reflects market demand, then the same questions I am asking of the market pressures that shape the machinery of social media must be asked of the cultural pressures that have through evolutionary time shaped the mind. So long as computation is primarily consumed by human beings, both computer and mind will be shaped by the same evolutionary pressures. As technical barriers are overcome, the industry can and does react more fluidly and with higher fidelity to the demands of its consumers.

At which point, the question becomes; Which heaps greater selective pressure on the evolution of computing, the need for tools that stand in for skills the human brain lacks, or the need for tools that amplify our most attention demanding desirers? Can the two co-exist and co-evolve productively? Again, the question is asked practically of computation and at the same time, philosophically or anthropologically of the human brain and the cultural stew in which each is both product and survival pressure.

Where computing used to take its shape from the fecund imagination of computational luminaries, it has of late been lead instead in the pursuit of the lizard brain in all of us, the sub-conscious urges and fears that inform social mediation behavior. The result is all of this social media dribble, the likes of "Twitter", "13 Seconds", "myface and spacebook" [sic], and numerology based pizza ordering "iPhone Apps." What advantages do such time wasters render? Some argue that social media was the logical communication oriented extension of email and personal web sites, that social media greases mechanisms deeply human and "natural". I remain dubious to these claims. I tend to group the brand of communication that social media seems to breed with more negative forms of group behavior like cults, mass hysteria, fundamentalism, and other behaviors unique to group-think.

And what of pop-culture notions like "collective intelligence", "global awakening, and "cultural consciousness" which seem to be born of transcendent utopian notions (not dissimilar to those that feed religion and spirituality). The adherents of these optimisms appear to be blissfully unhindered by the need for causally logical argument or empirical evidence. If our computers have become social monitoring devices (at the expense of facilities that enable creativity), is there a danger that they will further distort our already distorted sense of truth? If a computer "wants" to agree with us more than it wants to accurately calculate a value, then we might already have crossed the threshold into a world where 2 plus 2 really does equal 5 (if the computer says so, it must be true!).

It would be irresponsible for me not to at this point remind myself to question my own rhetorically close topics.

These questions and trends have profound implications to populist concepts we tend to romanticize but rarely examine in detail. Democracy, plural-icy, consensus, society, culture, community, equal rights, individuality, etc. As the computer industry becomes more and more sensitive to consumer demand, its product WILL become a device that does a better and better job at the automation and magnification of human idiosyncratic behavior, of superstition, mythos, hubris, rhetoric, ego, at any and all of the emotional side effects of evolutionary pressures.  Forget about the cold indifference of causal truth that has motivated so many sci-fi stories.

The real villain to be feared in any inevitable future is the computer as hubris amplifier.

Computing's new "social media" face might disturb my pioneer sensibilities, but it reflects the satisfaction of common demand. As any market matures it learns to overcome the physical and conceptual obstacles that so plagued it in its earlier years. Unburdened by things like processor speed and storage density, the computer industry was able to pursue directions more in line with human consumptive desire than with the technical or theoretical goals of computer "scientists". Marketeers trump scientists when the saturation of a product becomes universal.

It all makes sense. I am still depressed by the anti-innovation implications of the mass market dumbing down of computing, but at least I understand why it happened, what it means. Knowledge, even depressing knowledge, should open doors, should allow more efficient planning and prediction. But what exactly are the implications when a creative tool is hijacked by a larger urge to avoid at all costs, change and novelty. What happens when the same mass-market demand pressures that cause fads and trends focus their hysterical drive towards homogeneity onto the evolution of a tool originally intended for and idealized for creative exploration? What exactly do you get when you neuter the rebellion right out from underneath Picasso's brush?, When you force Darwin to teach sunday school?

Just what does it mean when our creative medium becomes sensitive to social interaction? Pen and paper never knew anything about the person wielding them, certainly didn't know how the greater society was reacting to what was being written or drawn.

If the average human feels more comfortable doing exactly what everyone else is doing, seeking the center, would much rather copy the answers off of their desk-mate's test than understand the the course content, well then it only makes sense that, we, the royal "we", would use this computing tool in the same way that we use the rest of the stuff in our lives, to help us find the social center and stay there.

It's not just the marketplace that has shifted towards the demographic center. The schooling mentality has crept into and now dominates computing as an industry. Personnel and management which in the early days of computing was awkwardly staffed by engineers and scientists and groupie hobbyists is now as diverse (homogenous?) a mix of humans as you could find in any industry. Even the scientists are cut from a different cloth. It takes a special and rare (crazy) human being to invent an industry from nothing. When avocations become well funded departments at major universities, the graduates are not likely to be as intellectually adventurous (understatement). As any MBA knows, the success of an industry is most sensitive to its ability to understand and predict the demand of its market. Who better to know the center of the consumer bell curve, the average Joe and Jane, than that same Joe and Jane? Joe and Jane Average now dominate the rank and file workers that make up the computer industry. This means administration, it also means sales and marketing, both of which make sense. Less intuitive, is but equally understandable, Joe and Jane Average have taken over the research and design and long range planning arms of the computer industry. Even where it isn't the actual Joe and Jane, it is people who do a kick-ass job of channeling them.

Does market saturation mean the evolution of computing has reached its zenith? I don't think it does. But, once an industry has reached this level of common adoption, the appearance of maturity and stability are hard to shake. Momentum and lock-in take hold. I have tried repeatedly to sell paradigm-busting and architectural re-imaginings of the entire computing paradigm to valley angles and big ticket VC firms only to realize that I wasn't selling to the current market. Try opening a VC pitch with "The problem with the computer industry is…" to a group of thirty-five year old billionaires who each drove to the meeting in custom ordered european super cars. Needless to say, their own rarefied experience makes it hard for them to connect with anything that follows. This is a classic conundrum in the study of evolution. I presume it is a classic conundrum facing evolution itself. Why should a system that is successful in the current environment ever spend any energy on alternative schemes? How could it? It is hard to even come to the question "What could we be doing better?" when surrounded by the luxury of success.

At the same time, it is unlikely (impossible?) that any system, no matter how successful in the present, will long define success in the future. It might even be true that the more successful a scheme, the more likely that scheme will hasten an end to the environment that supported it (through faster and more complete exploitation of available resources). The irony of success!

But we a are smart species. We are capable of having this discussion aren't we? So we might be prepared as well to discuss the inevitability of the end of the current computational scheme. No? To prepare as a result, for the next most likely scheme (or schemes)? Especially those of us who study language, information, computation, complex systems, evolution. Especially an industry that has so advanced the tools and infrastructure of complexity handling. No? Surely we in the computer industry are ideally situated to have a rational vantage from which to see beyond the success of the current scheme? Yet, for the reasons I have already postulated (market homogeneity and success blindness), and others, we seem to be directionless in the larger sense, incapable of the long range and big picture planning that might help us climb out of our little eden and into the larger future that is inevitable and unavoidable. Innovations springing forth from the current industry pale in comparison to those offered up 20, 30, even 40 years ago.

Speaking of which; I just found the resource list for Pattie Maes' "New Paradigms In Human Computer Interaction" class at MIT's Media Lab. These are video clips of speeches and demos of early and not so early computing pioneers showing off their work prescient work. Mind blowing. The future these folks (from places like MIT, Brown, Stanford Research, the Rand Corporation, Xerox PARC, and other institutions), well, it is sooooo much more forward looking than what has become of computing (or how the average computer is used). Everyone would do well to sit down and view or re-view these seminal projects in the context of their surprisingly early introduction.

I have written quite a few essays lambasting what I see as the computing industry's general loosing of its collective way… at the very least, a slowing down of the deep innovation that drove computing's early doers. Even when potentially powerful concepts ("Semantic Computing", "Geo-Tagging", "Augmented Reality", "User-Centered Cloud Computing") are (re-)introduced, their modern implementations are often so flawed and tainted by an obsession to kowtow to market pressures (or just plain lie or fake it) that the result is an insult, a blaspheme of the original concept being hijacked.

Over ten years ago, I gave a talk at Apple titled: "Apple Got Everything It Has For Free, And Sat On Its Ass For Eight Years While The Rest Of The World Caught Up".

Which is true, at least with regard to the Lisa/Macintosh which Xerox PARC handed them (check out the Star System) and the way they just kind of sat on the WISIWG mode-less graphical interaction scheme while other computer companies (Borland and then, reluctantly, Microsoft) eventually aped the same. At the time of my presentation, Apple had wasted its eight year lead extrapolating along the same scheme… a bigger badder WIMP interface, when they could have been introducing paradigm vaulting computational systems (that would put Seattle on another eight year chase).

But from a marketing perspective I couldn't have been more wrong. I have got to keep reminding myself that I no longer represent the market for computers! I wish I did, but I don't. I am an outlier, a small dot on a very long tail, I am pluto or maybe even just some wayward ice and dust comet to the big ordinary inner planets that trace out wonderfully near-circular orbits around the sun. In later presentations, I explained that Apple's critically acclaimed "Think Different" campaign and the elitist mindset from which it was derived, was the reason they had never garnered more than 2 or 3 percent of the computer market. I explained that Bill Gates' "genius" lie not in his profound insight, but in his ability to understand the motivations that drive the average person… namely to never be caught doing something that someone else could question. That means acting the same as everyone else. That means knowing how everyone else is acting. That means social media!

Nobody (other than wacky outliers like me) wants to be compared to iconoclasts like Einstein or Picasso or Gandhi or Gershwin. Very few people really want to "think different". Most people wouldn't be caught dead risking that type of public audacity. You have got to be pretty confident that you have an answer to the dreaded question "Why are you doing that?" to ever DO THAT (individually creative thing) in the first place.

Pioneers know exactly why they do what they do. They are driven by knowing more than others and by the excitement of being somewhere others haven't been… by being very much outside of the ball of fish that others seek as protection.

But if you want to sell a billion computers instead of just a few thousand, then you want to pay attention to the fish in all of us and not to the smiling and sock-less Einstein's on a bike.

But the larger and longer implications of mass market sensitivity are profound. While it is entirely true that paying attention to the center of the cultural bell curve will allow any industry to exploit more of the total available consumption potential, such behavior does not necessarily produce the paradigm jumping disruption upon which long term progress depends. If your Twinkies are selling really well, you might not notice that your customers are all reaching morbid levels of obesity and malnutrition or that the world is crumbling around the climate changing policies upon which your fast food empire is based.

The satisfaction of human center-of-the-fish-school urge is not necessarily the best recipe for success if success means more than short term market exploitation. In the long run, potential and satisfaction are decidedly not the same thing; they are, as a matter of fact, very often mutually antagonistic. Rome comes to mind. What comes to mind when I mention the phrase "dot com" or "mortgage backed securities" or "energy deregulation".

The mass market topology that has driven computing and communication towards a better and better fit with the demands of the largest and most homogenized consumer base the earth has ever witnessed could very likely work against the types of creative motivations that might be necessary to rescue us from the bland and the average, from the inward facing spiral of self-sameness that avarice alone yields. I am increasingly worried that the computer's seemingly endless potential to be warped and molded chameleon-like to perfectly satisfy our most basic evolutionary proclivities, to amplify unhindered, urges made strong against real scarcity in the natural environment, has already so distracted us within our egos and desires that we might not be able to pull our heads out before we get sucked completely down and into our very own John Malkovich-ian portals of endless identity-amplication.

And why does it matter? Because, like it or not, progress in every single field of human endeavor is now predicated on advancements in computation. More profound than anything else science has discovered about nature is that information is information. Information is domain agnostic. Which means that advances in information processing machinery benefit all information dependent fields of inquiry. Which is every field of inquiry! Which also implies that all fields of human inquiry are increasingly sensitive to the subtle ways that any one computational scheme effects information and the scope of information process-able within that scheme.

At any rate, it is alarming (if understandable) to me that the trending in this industry is towards a re-molding of the computer into ego amplifier, pleasure delivery system, truth avoidance device, distraction machine, Tribbles (as in "The Trouble With…"). The more insightful among us may want to place a side bet or two (if only as evolutionary insurance) on more expansive futures. Some of us are not so distracted by the shininess of these machines or by how they are getting better and better at focusing our attention at our own navels, to see futures for computing that are more expansive than the perfect amplification of the very human traits least likely to result in innovation or progress. There is still time (I hope).

Randall Reetz

Are We But Crows? (Where Pattern is Noise)

Lets look at yet another way that the human mind gets tripped up and falters. Our propensity to find pattern makes us vulnerable to an inane form of overindulgence and counterproductive obsession with attributes of systems that do not carry essence or salience. Seems that our evolutionarily-shaped affinity for pattern make us particularly vulnerable to a level of indulgence that in smaller quantities is reasonable and healthy, even necessary.

Here is the problem. Most pattern is indicative of a lack of information or salience. If a system can get away with simple duplication along a scheme, it means that that part of the system is not very important. It means that it is cutting resource corners and systems can only get away with this type of cost cutting in areas that are not salient to the main purpose of the system at large.

Imagine going to a bookstore and obsessing over the fact that all of the books are made of the same stuff, of paper sheets cut and stacked in approximately the same geometric ratio. Imagine, in fact that this pattern overwhelmed your attention to such a degree that you could not be bothered with the content encoded as printed words on the pages of those books.

That would render all books equivalent. A book printed with random strings of words or with no words at all would be informationally equivalent to Darwin's, Origin Of The Species. In the face of an overwhelming attraction to inessential pattern, essential pattern is dismissed as noise, is ignored.

I call this the "Crow" problem… an obsessive attraction to shiny objects. There are so many examples of this type of cognitive distraction; rainbows, crystals, mirages, amber waves of grain, camouflage, fractals, golden rectangles, sacred numbers, etc.  It is where our own cognitive process amplifies some pattern in the world wether or not it is important in any information rich manor.

We are for instance, especially susceptible to and sensitive to right/left symmetry. Probably because filtering for this pattern allows you to quickly pull animals out of a complex sensory field. Having such a filter gave us evolutionary advantage, so we now have brains with a tendency to favor right/left symmetry in visual fields.

The rainbow is an other great example of pattern that is attractive but virtually meaningless. A rainbow is not actually a thing of course, but a mix of the refractive nature of light and a behavioral anomaly of our visual apparatus. A rainbow is like a hologram. What we are seeing is light reflected off of raindrops or fog. Of course it is a poor indicator of the location of rain in our visual field… there is rain in other parts of the sky than where the colored bands appear. The phenomena that is visible as a rainbow is happening every time rain is present but we only see the rainbow when our orientation to the sun is within certain fairly restrictive parameters. Yet, so attractive is the rainbow stimuli, under the influence of this pattern detection stimulus, we might just miss more pertinent information (a lion approaching?).

Another example of particular importance is the attraction to crystals and the latest crystal fad, fractal geometry.

Most people are interested in fractals (or think they should be). But what exactly do you actually KNOW about fractals? Does your knowledge of fractals include an understanding of the WHY of n-dimensional radial n-scale self-similar patterns, why they appear in dissipative systems that develop over time? Do you care to know or understand? I get the feeling that people who are the most attracted to fractals are more interested in some sort of pseudo-spiritual grooviness, the stare at your navel aspect of fractals, than the simple truth of least-energy dictated growth patterns.

What is abstracted in mathematics as the "fractal" is in fact the only pattern that nature can exhibit in systems that are dominated by parts that are very much the same. Sand is a good example. Homogenous liquids and gasses are another. Fractals are a map or abstraction of dissipative systems, and all systems are dissipative. But the events and situations that matter in the evolution of complexity, the WHY that makes US possible, are not the even dissipation within a scheme, but the CREATIVE events that allow for new (faster and bigger) dissipative paradigms. An explosion is fractal in the same way that a capillary web is fractal in the same way that both a tributary and alluvial plane is fractal. It is just the end result of a history where least energy dictates the most efficient moment to moment dissipation of energy. The way you are saying that fractals are important feels religious and rapturous. As though fractal patterns in nature are a THING or a GOAL. Fractals don't know they are fractals any more than the ink making up the word "Fractal" on a printed page "knows" or "wants" to be that particular word or any word at all.

People who act this way towards pattern scare me. What matters in process is the places where pattern breaks. Else we wouldn't be here. Else we couldn't find salience.

I am afraid of and purposefully vigilant against the grand attractors of human thought, virgin births, miracles of any kind, shiny baubles, trickery, omnipotence, anecdote, life ever after, self importance, power over others, a desire to know or have access to the prediction of future events, predetermination, and pertinent to this discussion, crystals and fractals and the types of pseudo-cyclical pattern that makes us think nature is more simple than it is and that nature is of our own imagination or invention.

All systems seek equilibrium. In systems made up of subsystems, each of these subsystems seek their own equilibrium or resonance. Frequently when the resonances of several co-systems fall into an overlapping cycles, additive standing waves can and do overwhelm the integrity of the system as a whole. Feedback loops are anti-complexity mechanisms. Overarching patterns overwhelm systems and keep them from creative or information rich activities and interactions. Systems that seek to compete in the edge of evolution game are systems that spend an inordinate amount of energy keeping feedback loops in check. A creative system is a system working overtime AGAINST the information killer that is natural tendency towards simple pattern (fractals).

If you are trying to get rid of a planet or smooth out the heat cline in an ocean, fractal patterns are important. If you are a member of a species that is carrying complexity forward through the accumulation and control over abstraction, dissipative pattern and the systems dominated by them, are like Kryptonite to the program at hand… best to avoid them at all cost.

It is important to know when to appreciate pattern and when to run like hell when you see it developing. The forces that produce pattern are information destroyers.

We had better look long and hard at this issue. Choosing a false god at this level in the evolutionary game could end up causing the death of the whole complexity scheme just as it is becoming aware of its purpose and salient pattern.

As another example of pattern distraction, I give you DNA.

My favorite morphological description of DNA: "the non-periodic crystal". It harnesses the strong self-organizing (but anti-information) properties that give rise to a crystal (in this case, an almost endless wound chain of identical and stable "double-helix" spiral twists) as a stable superstructure for that will carry the information (anti-crystal) bearing base-pairs at its axillary center. The crystal spiral holds and protects the integrity of the always-vulnerable low-entropy sequence that holds our genetic recipe… DNA's real structure of importance. Even so, we humans seem to be more attracted (like crows) to the simplicity of the simple and un-remarkable spiral crystal armature instead of the non-crystaline information the crystal armature makes possible!

The larger implication of our self-destructive crow-like attraction to simplicity is that we are romantic about the very things that don't matter and ignore-ant of the anti-crystal configurations that are complex and information rich… that are salient to the information we are and the information our information may yet create.

I suspect that our attraction to simplicity in pattern is an idiosyncratic after-effect of a salience detector within our thinking apparatus that is constantly looking for self-similarity. When computer scientists and logicians attempt to design compression schemes, they are looking for ways to algorithmically discover those sections or sequences of a set of information that are un-important to the overall structure… much of data is repetitive, if you can find these repetitions, patterns, you can reduce them to simple equations or pointers to prototypical modules that can be stored once and forever duplicated as filler. Obviously, these patters are compressible because they cary so little salient information.

While it is somewhat surprising that so much of an image, musical recording, even string of text, can, using fractal math, be detected as filler and deleted, the subsequent and predictable human reaction… that of honoring the trash simply because it is pretty, is to my mind, one of the most scary attributes of human proclivity. Fractals illustrate how much of nature's structure is non-salient, is the noise, the tailings of dissipation. That we would be enamored by the pattern of noise to such an extent that we ignore the real meat of information (that which is not pattern-able) is our potential downfall as a species.

A snail isn't trying to build spiral. A snail grows a shell that happens to be a spiral because that is THE ONLY SHAPE allowed in three dimensions that is both a cone (expanding tube) and dimensionally minimal of solid permanent material. The snail has better things to waste its limited energy on than the shape of its protective home. So it chooses the one shape that takes the least energy and most minimal construction algorithm to pull off. We dishonor the snail as a biological scheme by paying attention to the aspect of its survival that is the least interesting. That simplicity of that spiral shell is what should tell us not to pay attention to that aspect of its being or strategy.

But in this regard and others, we act as crows despite our 100 billion brain cells and the potential therein.

Sad.

Randall Reetz

Biology Is Too Slow!

Humans are pumping a lot of energy around. When it comes to energy we don't mess around. We like our energy highly concentrated. We dig it up, refine it, convert it, and pump it through wires or pipes or the air like there is no tomorrow.

Nature is adaptive. Right? Nature finds a way. Right? So where are the animals and plants that suckle upon high power lines, that find their adaptive way into fuel tanks and batteries? Surely they could. Surely the same nature that goes gaga around mid ocean heat vents and can learn to metabolize the worst toxins we can throw into ponds... that good old adaptive nature should find a way to co-evolve with 50 thousand volt transmission lines.

And there are other (new) tits for nature to suckle. I fully expect our air to become less and less transparent to radio transmissions. If we can build devices that can grab radio energy right out of the air.… surely airborne molds and other microorganisms can do so. Are they? Doesn't look like it. What weird life forms would be best suited to radio-metabolism? Plants grab photons in the visible (radiation) band. Photosynthesis (in plants) is a respiratory affair - requiring oxygen and nitrogen for the primary reactions, but they also rely on heavy and rigid structural support to get up into the air where they can maximize their surface interface and solar exposure. Actually, when you think about it, a plant would be more efficient if it spent no energy fighting gravity, and instead laid flat on the surface of the land. Plants must only grow into the air to compete away from shade the shade of other plants and to increase respiration surface area.

Anyway, and this is a bit of an aside, but would there be a way for lighter than air super-colonies of single celled animals to maximize access to radio energy without the need for the heavy structure and vascular transport terrestrial plants employ? Maybe the radio scenario is ludicrous. Surely there is lots of background microwave energy constantly streaming by. Surely radio waves have been around as long as biology has been around. If radio was a good source of energy, nature would have already found a way. Maybe big bang radiation doesn't pack much of a wallop. Is it possible that communication intended radio is more energetic? More localized. Easier to exploit. I can imagine some type of group-dynamic in which individual floating animals or proto-animals learn to orient themselves such that they become a reflective parabola or fresnel lens concentrating radio energy to a focal point where other animals absorb the energy in some sort of symbiotic bio-community. Many other scenarios are conceivable.

Are plants learning to seed near highways to take advantage of air movement and carbon dioxide? There are a million ways in which human activity effects environments in ways that provide energy and stability clines. Surely life is reacting in step.

The pace of culture is so much faster than most organisms can genetically respond. The smallest organisms with the shortest life spans that have the greatest populations spread over the largest geographies are the organisms most likely to take advantage of our frenetic environmental messings.

Are they? Is anyone paying attention?

What is computing?

This is the most important question of our time… yet so rarely asked. Computing technology increasingly shapes every aspect of human behavior, culture, resource use, health, commerce, and governance. A passive stance on the question that effects all other questions is increasingly dangerous to the future of all humans, of life, of evolution itself.

In the 60's we created NASA, an elaborately funded research program to uncover the knowledge and develop the technology to "go to the moon". Yet one would be hard pressed to justify the cost to society of contraptions that do nothing more than take a few people to a near-by rock… almost nothing of the NASA program can be used outside of the narrow focus of getting a few tens of miles off the surface of Earth (at tens of millions of dollars per pound).

Ironically, and inadvertently, the practical mathematics, programming, and computational techniques developed and honed by NASA in the pursuit of its expensive and arguably impractical goals may be the only pertinent contribution to show for the tens of trillions of dollars spend on this ill-concieved and irrational "research" program.

Talk about putting the cart before the horse… akin to building a global library system and book binding before developing a written language.

We are surrounded by lifeless rocks. We didn't need to send a few Air-force test pilots to the moon to figure that out. The practical scope of our chemically propelled rockets hardly avails us to the nearest little frozen or boiling neighbor planets in this corner of this one little Solar System. Ever attempt a phone conversation with 40 min. gaps between utterances?

The interesting stuff in this Universe (at least the small corner we have access to) is right here on our little Earth. It is us… and more than that, it is not so much what we have done, but what we will do and how what we will do effects what other future things will do because we set them into motion. That is our job. In a very real way, we are the first things that understand the job description despite the fact that it has always been there and has always been the same. This understanding should give us a leg up on the process. Should.

There are two kinds of knowledge: the first, historical, the second, developmental. When we go somewhere, we do nothing more than uncover that which already is. Compare this to development, where we create things that never were. In this universe, if there was a force that was prescient in creating one star or planet, that same force must have been prescient in the creation of Earth. We don't have to go to Mars to find the forces that created Earth. And we certainly don't need to send humans over there even if we do want intimate knowledge of a place like Mars.

At any rate, computing is a universal process. Computing is agnostic to domain. You can compute about particle physics and you can compute about knitting. Computing is an abstraction processing medium. Computing is what brains do. Computing is not restricted to the category that is biological minds. Learning how to compute is learning how to discover. The goal becomes the unknown… becomes un-prejudiced developmental discovery. The machinery of pattern matching… of salience… of the perception of essence across domains.

I am obsessed with this biggest "why" of computing. I don't think the computational "why" can be separated from the biggest "why" of existence in general... of evolution… of the march of complexity.

The convergence of thermodynamics (the way action effects energy dissipation) and information science (the relative probabilities of structure and the cost of access, processing and transference) guide my approach to these questions. Least energy laws dictate the evolution of all systems. Computing is evolution. Abstraction systems allow prediction. Prediction grants advantage. Advantage influences the topology of the future. The better a system gets at accurately abstracting it's environment, the more it will influence the future of abstraction systems. Computing is the mechanics of evolution... always has been. Are we designing computing to this understanding of the methodology of complexity handling?

Lets suppose we gave the scientists at NASA a choice. We ask them, "What technology represents a greater potential towards the eventual understanding and even physical exploration of the Universe, rocket engines or computers?", What would be the rational and obvious answer? If we ever hope to get any real distance in this universe it won't be by burning liquid oxygen and kerosene. Most things in this universe are millions of years away even at the speed of light. Rocket engines hardly move at all when compared with even the too-slow speed of light. Getting anywhere in this universe will demand tunneling beneath the restrictions that are space and time… no rocket engine will ever do that for us. I am not an advocate for space exploration, but if I was, I would be pushing computation over rocket propulsion.

It is time to advocate a culture wide push towards the advancement of an ever-expanding understanding of computing. To the extent we succeed, all of the future will be defined by and fueled by our discoveries. If we choose instead to spend our limited and most expensive money towards rockets we had better hope the universe can be understood through the understanding of explosions and destruction and spending long periods of time floating in space. Come on people! Think!

[ more to come… ]