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A New Theory of Everything

  • Posted on May 12, 2012 at 9:00 am

Technology Review covers Stuart Kauffman‘s work to find a mathematical model for autocatalytic sets, the process by which life may emerge from molecules:

What makes the approach so powerful is that the mathematics does not depend on the nature of chemistry–it is substrate independent. So the building blocks in an autocatalytic set need not be molecules at all but any units that can manipulate other units in the required way.

These units can be complex entities in themselves. “Perhaps it is not too far-fetched to think, for example, of the collection of bacterial species in your gut (several hundreds of them) as one big autocatalytic set,” say Kauffman and co.

And they go even further. They point out that the economy is essentially the process of transforming raw materials into products such as hammers and spades that themselves facilitate further transformation of raw materials and so on. “Perhaps we can also view the economy as an (emergent) autocatalytic set, exhibiting some sort of functional closure,” they speculate.

Could it be that the same idea–the general theory of autocatalytic sets–can help explain the origin of life, the nature of emergence and provide a mathematical foundation for organisation in economics?

MIT Technology Review: The Single Theory That Could Explain Emergence, Organisation And The Origin of Life

(via Social Physicist)

I find this very interesting, but don’t get too excited. These sorts of grand unification theories are extremely elusive. I’m also skeptical of these sorts of models which try to find universal rules for all types of systems.

See also:

Social Physics with Kyle Findlay

Guest Post: Some resources for thinking about systems

From http://technoccult.net/archives/2012/05/12/a-new-theory-of-everything/

Some Bees Are “Thrill Seekers” – Does That Mean Insects Have Personalities?

  • Posted on March 9, 2012 at 3:08 pm

From Wired UK:

The researchers found that thrill-seeking is not limited to humans and other vertebrates. The brains of honeybees that were more likely than others to seek adventure exhibited distinct patterns of gene activity in molecular pathways known to be associated with thrill-seeking in humans.

The findings present a new perspective on honeybee communities, which were thought to be highly-regimented and comprised of a colony of interchangeable workers taking on a few specific roles to serve their queen. [...]

Robinson and his team studies two behaviors that looked like novelty seeking: scouting for new nest sites and scouting for food. When a colony outgrows its living quarters, the swarm must hunt for a new home. Around five percent of the swarm goes hunting for new lodgings. These “nest scouts” are around 3.4 times more likely than their peers to also become food scouts, researchers discovered.

“There is a gold standard for personality research and that is if you show the same tendency in different contexts, then that can be called a personality trait,” Robinson said.

Wired Science: Honeybees May Have Personality

(via James Governor)

Photo by Gilles San Martin

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Nassim Taleb Interview on His New Book Anti-Fragility

  • Posted on May 14, 2011 at 3:27 pm

taleb Nassim Taleb Interview on His New Book Anti Fragility

Great new interview with Nassim Taleb by one of his former teachers at Wharton:

Taleb: The events in the Middle East are not black swans. They were predictable to those who know the region well. At most, they were gray swans or perhaps white swans. One of the lessons of “Wild vs. Mild Randomness,” my chapter with Benoit Mandelbrot in your book, is what happens before you go into a period of wild randomness. You will find a long quiet period that is punctuated with absolute total turmoil…. In The Black Swan, I discussed Saudi Arabia as a prime case of the calm before the storm and the Great Moderation [the perceived end of economic volatility due to the creation of 20th century banking laws] in the same breath. I was comparing Italy with Saudi Arabia. Italy is an example of mild randomness in comparison with Saudi Arabia and Syria, which are examples of wild randomness. Italy has had 60 changes in regime in the post-war era, but they are inconsequential…. It is a prime example of noise. It’s very Italian and so it’s elegant noise, but it’s noise nonetheless. In contrast, Saudi Arabia and Syria have had the same regime in place for 40 some years. You may think it is stability, but it’s not. Once you remove the lid, the thing explodes.

The same kind of thing happens in finance. Take the portfolio of banks. The environment seemed very placid — the Great Moderation — and then the thing explodes.

Herring: I would agree that people knew the Middle East was very vulnerable to turmoil because of the demographics, a very young population, and widespread unemployment, the dissatisfaction with the distribution of income and with regimes that were getting geriatric. But knowing how it would unfold and knowing that somebody immolating themselves in a market in Tunisia would lead to this widespread discontent — and we still don’t know how it will end — is a really remarkable occurrence that I think would be very difficult to predict in any way.

Taleb: Definitely, and it actually taught us to try not to predict the catalyst, which is the most foolish thing in the world, but to try to identify areas of vulnerability. [It's] like saying a bridge is fragile. I can’t predict which truck is going to break it, so I have to look at it more in a structural form — what physicists call the percolation approach. You study the terrain. You don’t study the components. You see in finance, we study the random walk. Physicists study percolation. They study the terrain — not a drunk person walking around — but the evolution of the terrain itself. Everything is dynamic. That is percolation.

And then you learn not to try to predict which truck is going to break that bridge. But you just look at bridges and say, “Oh, this bridge doesn’t have a great foundation. This other one does. And this one needs to be reinforced.” We can do a lot with the notion of robustness.

Wharton: Nassim Taleb on Living with Black Swans

(via Chris Arkenberg)

From http://technoccult.net/archives/2011/05/14/nassim-taleb-interview-on-his-new-book-anti-fragility/

Otomata – Flash-based Cellular Automata Music Sequencer

  • Posted on April 17, 2011 at 12:24 pm

Otomata

From http://technoccult.net/archives/2011/04/17/otomata-flash-based-cellular-automata-music-sequencer/

Predicting the Future with Twitter

  • Posted on December 30, 2010 at 12:33 pm

23trading illo articleLarge Predicting the Future with Twitter

The New York Times reports:

The number-crunchers on Wall Street are starting to crunch something else: the news.

Math-loving traders are using powerful computers to speed-read news reports, editorials, company Web sites, blog posts and even Twitter messages — and then letting the machines decide what it all means for the markets.

The development goes far beyond standard digital fare like most-read and e-mailed lists. In some cases, the computers are actually parsing writers’ words, sentence structure, even the odd emoticon. A wink and a smile — ;) — for instance, just might mean things are looking up for the markets. Then, often without human intervention, the programs are interpreting that news and trading on it.

New York Times: Computers That Trade on the News

And Bloomberg reports:

Derwent Capital Markets, a family- owned hedge fund, will offer investors the chance to use Twitter Inc. posts to gauge the mood of the stockmarket, said co-owner Paul Hawtin.

The Derwent Absolute Return Fund Ltd., set to start trading in February with an initial 25 million pounds ($39 million) under management, will follow posts on the social-networking website. A trading model will highlight when the number of times words on Twitter such as “calm” rise above or below average.

Bloomberg: Hedge Fund Will Track Twitter to Predict Stock Moves

See also:

Sentiment analysis

Technical analysis

From http://feedproxy.google.com/~r/Technoccult/~3/-3xCZCSwjSw/

Lost Alan Moore Comic: Big Numbers # 3

  • Posted on November 3, 2010 at 9:14 pm

Big Numbers 3

I dug ever so slightly deeper into why I love the Master, the Alan Moore archive site I mentioned recently, and found another rare gem: the long lost Big Numbers # 3. It’s actually been up since March, 2009 – I don’t know this has escaped me for so long.

After Bill Sienkiewicz quit Big Numbers after completing two issues and beginning a third, Tundra hired Sienkiewicz’s assistant Al Columbia to complete the project. Columbia finished issue 3 and part of issue 4, but then, well, something happened. Issues 3 & 4was long thought destroyed, but it turns out that photocopies of 3 surfaced on eBay last year and are now available for your reading pleasure, with the blessing of Moore (but not necessarily Columbia and Sienkiewicz).

Big Numbers # 3

From http://feedproxy.google.com/~r/Technoccult/~3/b8tIrI2dsAE/

Bees Can Solve the “‘Travelling Salesman Problem”

  • Posted on October 27, 2010 at 12:29 pm

bees complex math Bees Can Solve the Travelling Salesman Problem

What’s interesting is that this doesn’t seem to be a result of “swarm intelligence” – individual bees can somehow make these calculations:

Scientists at Queen Mary, University of London and Royal Holloway, University of London have discovered that bees learn to fly the shortest possible route between flowers even if they discover the flowers in a different order. Bees are effectively solving the ‘Travelling Salesman Problem’, and these are the first animals found to do this.

The Travelling Salesman must find the shortest route that allows him to visit all locations on his route. Computers solve it by comparing the length of all possible routes and choosing the shortest. However, bees solve it without computer assistance using a brain the size of grass seed. [...]

Co-author and Queen Mary colleague, Dr. Mathieu Lihoreau adds: “There is a common perception that smaller brains constrain animals to be simple reflex machines. But our work with bees shows advanced cognitive capacities with very limited neuron numbers. There is an urgent need to understand the neuronal hardware underpinning animal intelligence, and relatively simple nervous systems such as those of insects make this mystery more tractable.”

PhysOrg: – Bumblebees can find the solution to a complex mathematical problem which keeps computers busy for days

(via Fadereu)

From http://feedproxy.google.com/~r/Technoccult/~3/sQ9clD06_ZE/

Can Consciousness be Measured Using Information Theory?

  • Posted on October 1, 2010 at 2:46 pm

measuring consciousness

But Dr. Tononi’s theory is, potentially, very different. He and his colleagues are translating the poetry of our conscious experiences into the precise language of mathematics. To do so, they are adapting information theory, a branch of science originally applied to computers and telecommunications. If Dr. Tononi is right, he and his colleagues may be able to build a “consciousness meter” that doctors can use to measure consciousness as easily as they measure blood pressure and body temperature. [...]

For the past decade, Dr. Tononi and his colleagues have been expanding traditional information theory in order to analyze integrated information. It is possible, they have shown, to calculate how much integrated information there is in a network. Dr. Tononi has dubbed this quantity phi, and he has studied it in simple networks made up of just a few interconnected parts. How the parts of a network are wired together has a big effect on phi. If a network is made up of isolated parts, phi is low, because the parts cannot share information.

But simply linking all the parts in every possible way does not raise phi much. “It’s either all on, or all off,” Dr. Tononi said. In effect, the network becomes one giant photodiode.

Networks gain the highest phi possible if their parts are organized into separate clusters, which are then joined. “What you need are specialists who talk to each other, so they can behave as a whole,” Dr. Tononi said. He does not think it is a coincidence that the brain’s organization obeys this phi-raising principle.

New York Times: Sizing Up Consciousness by Its Bits

(Thanks Bill!)

From http://feedproxy.google.com/~r/Technoccult/~3/uHTLWwZ1sdw/

3 Best University Majors According to Microsoft

  • Posted on August 31, 2010 at 3:13 pm

Artificial intelligence

These are the areas of concentration Microsoft is most in need of right now, according to its jobs blog:

Data Mining/Machine Learning/AI/Natural Language Processing

Business Intelligence/Competitive Intelligence

Analytics/Statistics – specifically Web Analytics, A/B Testing and statistical analysis

Microsoft Careers Jobs Blog: The Top Three hottest new majors for a career in technology

No surprises there. See “The Coming Data Explosion” for more on the subject of big data.

(via Don)

Update: See also: The Big Data Explosion and the Demand for the Statistical Tools to Analyze It “If The Graduate were remade today, the advice to young Benjamin Braddock might be ‘just one word… statistics.’”

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Making brains: Reverse engineering the human brain to achieve AI

  • Posted on August 25, 2010 at 3:54 pm

Brain

An introduction to the concepts and problems with reverse engineering the human brain:

The ongoing debate between PZ Myers and Ray Kurzweil about reverse engineering the human brain is fairly representative of the same debate that’s been going in futurist circles for quite some time now. And as the Myers/Kurzweil conversation attests, there is little consensus on the best way for us to achieve human-equivalent AI.

That said, I have noticed an increasing interest in the whole brain emulation (WBE) approach. Kurzweil’s upcoming book, How the Mind Works and How to Build One, is a good example of this—but hardly the only one. Futurists with a neuroscientific bent have been advocating this approach for years now, most prominently by the European transhumanist camp headed by Nick Bostrom and Anders Sandberg.

While I believe that reverse engineering the human brain is the right approach, I admit that it’s not going to be easy. Nor is it going to be quick. This will be a multi-disciplinary endeavor that will require decades of data collection and the use of technologies that don’t exist yet. And importantly, success won’t come about all at once. This will be an incremental process in which individual developments will provide the foundation for overcoming the next conceptual hurdle.

Sentient Developments: Making brains: Reverse engineering the human brain to achieve AI

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Trippy 3D Fractal Video

  • Posted on August 18, 2010 at 1:06 pm

Mandelbox Zoom from hömpörg? on Vimeo.

(via Dose Nation)

The video was made with Mandelbulb 3D. For more 3D fractal images created with Mandelbulb 3D, see here.

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Nassim Taleb Exposes Scam Perpetuated by Former Fed Vice Chairman

  • Posted on August 4, 2010 at 12:35 pm

Nassim Taleb

Nassim Taleb “lowers” himself to doing journalism and writes at the Huffington Post:

The story is as follows. Last year, in Davos, during a private coffee conversation that I thought aimed at saving the world from, among other things, moral hazard, I was interrupted by Alan Blinder, a former Vice Chairman of the Federal Reserve Bank of the United States, who tried to sell me a peculiar investment product. It allowed the high net-worth investor to go around the regulations limiting deposit insurance (at the time, $100,000) and benefit from coverage for near unlimited amounts. The investor would deposit funds in any amount and Prof. Blinder’s company would break it up in smaller accounts and invest in banks, thus escaping the limit; it would look like a single account but would be insured in full. In other words, it would allow the super-rich to scam taxpayers by getting free government sponsored insurance. Yes, scam taxpayers. Legally. With the help of former civil servants who have an insider edge.

I blurted out: “isn’t this unethical?” I was told in response, “We have plenty of former regulators on the staff,” implying that what was legal was ethical.

He goes on to note:

The more complex the regulation, the more bureaucratic the network, the more a regulator who knows the loops and glitches would benefit from it later, as his regulator edge would be a convex function of his differential knowledge. This is a franchise. (Note that this franchise is not limited to finance; the car company Toyota hired former U.S. regulators and used their “expertise” to handle investigations of its car defects). [...]

The more complicated the regulation, the more prone to arbitrages by insiders. So 2,300 pages of regulation will be a gold mine for former regulators. The incentive of a regulator is to have complex regulation.

He doesn’t offer any remedy, but it does make more clear something I’ve been wondering about since I started following him: on the one hand, he calls himself a libertarian and skewers regulators, and on the other he says stuff like this:

Complex derivatives need to be banned because nobody understands them and few are rational enough to know it. Citizens must be protected from themselves, from bankers selling them “hedging” products, and from gullible regulators who listen to economic theorists.

I’ve always wanted to ask him about this apparent contradiction: who exactly is supposed to do this banning of derivatives and why should they be trusted? This article gives some clarity: he thinks there should be rules, but they shouldn’t be overly complex, because that breed corruption.

The idea that we should have hard and fast, clear rules as opposed to “regulation” is supported by the failure of the SEC’s revision of certain firms’ debt-ratio requirements. From Reason:

In 2004, the international Committee on Banking Supervision issued Basel II, an accord on banking regulation. In its wake, the SEC revised its regulations to allow five broker-dealer firms with more than $5 billion in capital—Lehman Brothers, Bear Stearns, Merrill Lynch, Goldman Sachs, and Morgan Stanley—to participate in a voluntary program that changed the way their debt was calculated. The existing net-capital rules required firms to keep their debt-to-net capital ratios below 12-1 and to issue warnings if they started to get close to that. Under the new rules, broker dealers increased these ratios significantly. Merrill Lynch, for instance, hit 40-1. This was possible because the rule changed the formula for risk calculations and instituted more subjective, labor-intensive SEC oversight in place of hard and fast guidelines. “They constructed a mechanism that simply didn’t work,” former SEC official Lee Pickard told The New York Sun on September 18. “The SEC modification in 2004 is the primary reason for all of the losses that have occurred.”

Some I’m guessing Taleb draws a line between banning a practice and “regulating” it – and between having rules that banks must follow and “regulating” them. It’s an interesting distinction and I wonder what other self-styled libertarians would think about it.

Taleb also notes how the debate over government and regulation goes back to Ancient Greece at least – which is a discouraging reminder that almost any modern debate we have on almost any subject goes back for centuries. It’s enough to make you want to live in a bathtub and nourish yourself onions.

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From http://technoccult.net/archives/2010/08/04/taleb-fed-scam/

Social Physics with Kyle Findlay – Technoccult Interview

  • Posted on July 15, 2010 at 9:43 am

Kyle Findlay

Regular readers of this site may have noticed a large number of posts on this site credited to “Social Physicist” – the Twitter handle of Kyle Findlay (and yes, you could be forgiven for confusing our names). Kyle works for a group within one of the world’s largest market research companies, which he describes as a “mini-think tank” with the purpose of exposing people to new ways of thinking and doing things. Having enjoyed his Twitter stream for the past year or so, I got in touch with Kyle Findlay to ask him about the practice of “social physics.” He talked to me by instant message from from his home in Cape Town, South Africa.

Klint Finley: What, as a “social physicist,” do you actually do?

Kyle Findlay: Well, at the moment I’m on my own in this “field,” if you can call it that. It just seems like the best description of what I do and what interests me so hopefully it sticks.

Basically, my interest is in understanding how people act as groups. As emergent entities that have their own (hopefully) predictable and describable topological forms. That’s the lofty idea anyway. And the tools of chaos theory, systems theory, network theory, physics, mathematics, etc. help describe this.

Do you have a background in physical sciences?

None at all. I studied “business science” at the University of Cape Town. My first job was for a company with a strong academic background, started by a professor of religion and a statistician. They used a 5-dimensional catastrophe cusp model to describe people’s relationships with ideas.

The moment I was exposed to this thinking, something clicked. A lot of contradictions that I saw in the world around me were resolved. Ever since I have had an insatiable desire to understand these areas. Which led me to interact with experts in many disciplines from neuroscience to economics, math, physics, AI, ecology, biology, etc. Every field has a piece of the puzzle. I am lucky to work in an environment that gives me free rein to indulge my passion.

Fractal Zoom
Sketch: Fractal Zoom by Kyle Findlay

Do you think what you do is different from systems thinking or social cybernetics?

They are definitely components. Systems thinking is a broad umbrella term. Cybernetics definitely helps us to understand and describe the patterns and multi-dimensional shapes that society creates. But I think that you need the hard sciences like math and physics to really get at the heart of it. Which is why I am feverishly trying to catch up on many years of missing education.

Do you think there are any dangers in applying models designed for physical systems to human behavior?

Yes there are – you will always be at least slightly wrong. There are a lot of parallels between the way people act in groups and other types of particles. But you also have the same problems of predictability in complex systems: sensitivity to initial conditions, 3-body problem, etc. It’s kind of the paradox of it all, something I am still trying to come to grips with.

What’s the most surprising insight you’ve discovered since you started studying this?

Everything is the same and everything is just information. The universal nature of nature is astounding. You see the familiar signs everywhere: from the atomic through to the cosmic level. It makes me think that there really is only one true science or line of inquiry and that most specialised fields are just facets of this. The more fields I delve into, the more commonalities I discover. It’s become par for the course for me now I think. But in the beginning, it really blew my mind.

Man's Part in the System
Sketch: Man’s Part in the System by Kyle Findlay

Have you been able to apply this stuff in any interesting ways? For example, I know you’ve prepared presentations on network theory and power laws for work.

Those have gone down really well within the silos I work in. People have really been amazed when I’ve shown them these kinds of things. It gets their minds racing.

I’m also doing some work applying systems theory to sports science, which can really benefit from changing the way they view the human body. Music is another area that makes a lot more sense from this point of view.

One of my favourites is understanding how human attention works and how to synchronise communication so that it becomes internalized, but that is very theoretical and could be seen as slightly Machiavellian so I won’t go there.

Also, I’ve been having some interesting chats with a neuroscientist around decision-making, attention, etc. The applications are really endless, it’s just where you choose to focus you own attention.

How would you suggest someone interested get started studying social physics?

Well, considering I’m not 100% sure what falls into the bounds of the field myself, it’s difficult to say. There’s no university course for it as far as I know. I would say that you need to have an intense desire to understand why people do what they do. And a slightly perverse fascination with the human condition. Looking at life from a systems perspective is a good start. Understand that patterns are formed internally, that change is the only constant. You can then use tools like network theory, noise analysis, entropy, etc. to understand these ebbs and flows.

Are you familiar with Stephen Wolfram? He wrote a book called a New Kind of Science.

Yes, I know of Stephen Wolfram from his software and Wolfram Alpha. I’ve been intimidated by the size of his book, though. I struggle justifying devoting so much time to one book, which probably says more about me…

Yeah, I haven’t picked it up yet either.

He sounds like a really bright guy. I think I watched a talk of his at the Singularity Summit or somewhere similar, but to be honest, can’t remember much of it.

Most of my reading is in the scientific literature, interspersed with a good book or graphic novel.

Flatland by Edwin A. Abbott

Speaking of which, do you know of any works of fiction that demonstrate the principles you’re interested in?

Good question. Not too many spring to mind. A classic is Flatland by Edwin Abbot – the quintessential metaphor for perceiving multiple dimensions. The guy wrote a book about perceiving multiple dimensions in the 1800s! Impressive.

A recent book that blew my mind was Accelerando by Charles Stross. He has a great worldview but his insights were more in terms of extrapolating the directions technology is going in.

Yourself? Any suggestions?

Snow Crash seems like it might be relevant. Or the film Run Lola Run.

I am ashamed to admit that I haven’t read Snow Crash. Why do you say Run Lola Run? Time? Sensitivity to initial conditions?

Yep. It shows how tiny changes in a system can have far-ranging results. A starting delay of only a couple of seconds radically changes things for several characters in the different timelines.

True. I’m not going to mention Back to the Future 2 or The Butterfly Effect (although I just did).

Have you heard of the 1990 film, Mindwalk?

No.

It was co-written by Fritjof Capra and consists of several characters discussing the nature of the world from a systems perspective. I have to admit that i fell asleep during it… but I was very tired.

That sounds pretty amazing though.

Yeah – good credentials right there.

My personal favourites are any films or books that push society’s limits. Subversive materials rule in my book (no pun intended). Anything that helps me push back my pre-conceptions and shatter my expectations. They were great at that in the 70s, in music, film and literature. Probably a side-effect of the 60s experimentations. I’m a big fan of exploitation flicks.

Let’s see, what else… I haven’t read Alan Moore’s Big Numbers. But Moore seems to have a pretty good grasp on complexity, judging by Watchmen and From Hell.

I haven’t read Big Numbers either. What elements do you think he draws on in those books?
Watchmen

Watchmen itself seems to be very mathematical – the use of symmetry and so on. In terms of themes, maybe it doesn’t touch on this stuff much, apart from some of Dr. Manhattan’s comments.

Yeah, he definitely weaves a non-linear richness into his tales that is admirable. The way he weaves the various threads of a story together.

I forget why I thought From Hell was relevant. Maybe it’s not.

Also, he calls himself a chaos magician. Watching an interview with him a while back, I could actually identify with a lot of what he was saying.

I wasn’t going to go there, but… have you studying chaos magic or the occult at all?

No I haven’t. That Moore interview is probably as far as I have gone. It’s just not a direction I feel I can go in and remain “grounded” if I want other researchers to take me seriously. But I can definitely see how he got there.

Well, I have and I think you’re better off studying natural sciences, systems, and complexity IMHO.

[Laughs] Cool, thanks for the advice.

But the book Techgnosis by Erik Davis examines a lot of parallels between information theory and cybernetics and mysticism and the occult. I think it stands up pretty well, even if you’re not interested in magic.

I think you have to have a certain detachment to take a step back and observe the world. And when you start seeing everything as inter-related and part of the same thread it becomes easier to start imagining that you can define the tapestry with your perceptions. I guess I don’t want to open that Pandora’s Box. In my view it untethers you. Again, talking from an inexperienced point of view in this area.

Davis’ book sounds interesting though.

From an interview with Manuel DeLanda (who you might be interested in) -conducted by Davis, incidentally:

As Deleuze says, “Always keep a piece of fresh land with you at all times.” Always keep a little spot where you can go back to sleep after a day of destratification. Always keep a small piece of territory, otherwise you’ll go nuts.

Yeah exactly. I find that the concepts I deal with in my day job challenge me enough, and that’s all based on empirically grounded ‘fact’ in the scientific literature.

Most people work very hard to maintain their reality, but I do think that you have to have an affinity towards detachment. A certain world view that is open to having your illusions shattered and actually enjoying that experience. And the cutting edge of science delivers those experiences in spades.

Kyle Findlay

More Info

Kyle on Twitter

Kyle’s Slideshares

Kyle’s Flickr

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From http://technoccult.net/archives/2010/07/15/social-physics-with-kyle-findlay-technoccult-interview/

First Replicating “Creature” Created in Game of Life

  • Posted on June 17, 2010 at 12:43 pm

A first for the game, the replicator demonstrates how astounding complexity can arise from simple beginnings and processes – an echo of life’s origins, perhaps. It might help us understand how life on Earth began, or even inspire strategies to build tiny computers.

The Game of Life is the best-known example of a cellular automaton, in which patterns form and evolve on a grid according to a few simple rules. You play the game by choosing an initial pattern of “live” cells, and then watch as the configuration changes over many generations as the rules are applied over and over again (see “Take two simple rules”).

The rules of the game were laid down by mathematician John Conway in 1970, but cellular automata first took off in the 1940s when the late mathematician John von Neumann suggested using them to demonstrate self-replication in nature. This lent philosophical undertones to Life, which ended up attracting a cult following.

Life enthusiasts have since catalogued an entire zoo of interesting patterns, such as “spaceships” that travel across the grid, or “guns”, which constantly spawn other patterns. But a pattern that spawned an identical copy of itself proved elusive.

New Scientist:

(Thanks socialfiction)

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Related posts:

  1. Searching for the best initial configurations in Conway’s Game of Life
  2. Software for creating 3D cellular automata
  3. Cellular automata based psychedelic animation generator

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