Swarm Theory Makes National Geographic
g8orade writes "Swarm Behavior / Swarm Theory has made the pages of National Geographic. Brief but interesting article with several examples." Swarm theory has been discussed here a few times in recent years.
It seems to me that this whole field (what do I call it - complex systems? derived behaviour? emergent systems? swarm theory?) lacks a consistent language. It is a hugely important scientific field, but everyone calling it different names means it appears smaller than it really is!
Aunt Hillary would agree.
To the confused, Aunt Hillary is an ant hill, a character in Douglas Hofstadter's Gödel, Escher,Bach; an Eternal Golden Braid. The chapter she's featured in is subtitled "...Ant Fugue". (Which is the chapter following one subtitled "Prelude...")
Welcome to the Panopticon. Used to be a prison, now it's your home.
My fascination is with how similar this is to the theory of free market economics.
The truth is that all men having power ought to be mistrusted. James Madison
That human consciousness is a swarm of neuronal interactions.
Deleted
Apparently when large groups of African women get together in swarms they form enough intelligence to cover up for the photos.
See how many "I for one welcome our hivemind overlords" type posts we get with this story.
cmd-q.co.uk - some sort of stupid fucking internet bullshit
From TFA "Ants aren't smart," Gordon says. "Ant colonies are."
But apparently...
"A person is smart. People are dumb, panicky dangerous animals and you know it." - Kay
They cite a practical application of Swarm Theory as optimizing the business operation of a gas producer. They say this technique was inspired by how ants learn to forage for food, but this technique is a standard (and pretty obvious) solution to numerical optimization. So while the idea is interesting and can definitely be applied to networks of robots, it is a retroactive explanation of something that has already been developed (for marketing purposes, I'm sure).
chillax137
So that is what killed all the bees!
sed -e 's/Chuck Norris/Rajnikant/g' joke > fact
It's not mentioned, but it seems an obvious sort of question to ask given the content they've got: is there anything to "real" (by which I mean, individual) intelligence other than swarm behavior at the neuron level? In fact, is the entire biology of any given animal (ourselves, obviously, included) anything more than swarm behavior at the cellular level? Or, if we accept the idea that cells are just a reproductive mechanism for DNA, is it just swarm behavior at the molecular level?
Which would have a fascination all its own, since I don't think anyone's ever argued that DNA has anything we'd call intelligence. If all of life arises out of swarm behavior at the molecular level, we've managed to take intelligence completely out of the equation.
Which, in turn, just makes this another facet of the belief that the entire universe is an emergent phenomenon of a vast set of simple items following simple rules.
The truly intriguing observation (from my point of view, anyway), though, is that this emergent phenomenon contains examples of exactly the same mechanism at so many levels of complexity. It wouldn't necessarily have to be true that simple interactions at the fundamental particle level would give rise to higher-order behaviors that can be macroscopically described as simple interactions at that higher level. It's the fractal nature of the mechanism that is most intriguing, I think.
Reality has a conservative bias: it conserves mass, energy, momentum...
A Fire Upon The Deep novelizes the potential of sentient consisting of several physically individual members who do not have sentience as individuals, although this runs tangential to the plot.
Everyone with some algorithm design experience knows that you can get complex behaviors (often known as bugs) with a set of simple rules. Unfortunately, the wide range of problems to which we apply computers, generally by business demands, require rigorous certainty. We want to know exactly how many beans were shipped, not an estimate. Individual instances of an algorithm cooperating via simple rules inherently introduces uncertainty or reflects a very inefficient approach to solving a certain problem. This goes against the grain of classical training and thinking about computing.
Collective intelligence may also depend on all individuals having some level of variation, yet cooperating through simple rules. In this case, the emphasis goes to the protocol and not the algorithm. I believe that further research will find that some level of individual variation will become recognized as an essential element of perceived group intelligence, important to breaking recursive feedback loops and deadlocks. Unfortunately, attempts to emulate this in computing will run into the issue that group perceived intelligence may not be determined so much by design, but by fitness for a particular, narrow purpose, with truly remarkable group intelligence requiring many iterations exposed to actual operating conditions or good simulations thereof.
Would the brain classify as a swarm of neurons?
Life is not for the lazy.
Ant colonies sound a lot like slashdot it seems...
Comment removed based on user account deletion
In the article is a part on the wisdom of crowds. Essentially every time I read about it an experiment is mentioned where you have children guess the number of beans in a jar and the prediction is that the average will be either the best or a very close estimate of the actual number of beans in the jar. However this experiment was done on the internet and got removed by the author of the book before posting the results (I'm not drawing any conclusions here ;)). So I tried this in 2 statistics 101 classes I teach. Both of the times the actual number of beans in the jar was not even in the confidence interval, both classes had about 50 students, of which at least 5-10 were closer than the average. It's a shame that NG uses some remarks of the other and states them as facts, because they obviously aren't!
Yeah but, Smarm Theory made the cover of "OMG-i-heart-ponies Magazine" this month.
Brief but interesting summary.
Oh wait, scratch that second part..
Aikon-
Bees's Swarm Optimization >> Butterflies Optimization >> Ants Optimization >> Neural Nets >> Genetic Algorithms.
There is a correlation beetween the speed of the animals/bacterias and the speed of solving its problems.
Signed by J.C.
Perhaps some genius chemist will come up with a way to infect or affect an ant's sense of smell/touch/taste in such a way that foragers never go out and thereby starve the colony? It wouldn't be poison in the direct sense and would hopefully be safe for plants, animals and children. It would be like boric acid but better.
>So I agree that swarms are unlike authoritarian communism. They're unlike authoritarian anything,
>simply because swarms are anti-authoritarian and non-hierarchial - any structure involving a boss
>or a "chain of command" cannot function as a swarm. However, they're definitely not behaving the
>way a free market does, either....
Actualy they are very much more like a free market.
Communism is a tightly hierarchical system in which all decisions are made at the top and everyone has to do what they are told by the chain of command. In a free market system everyone can choose what they do, which means that on the one hand I can work in a team/part/company or other group if I decide that's best, or I can choose to split off and for my own group (political party, company, etc) if I see an opportunity. That is much more like the behaviour of colony insects because each insect makes it's own decisions. It doesn't make decisions just based on arbitrary desires, but then neither do we. Human beings in a free market make decisions based on the information we get from our interactions with others in society, and is self-optimizing in the same way colony insects are.
Communist societies are not self-optimizing at the micro-level and so are inflexible and inefficient.
Simon Hibbs
um...free market economics don't rely on unbending regulation at every turn, like the ants in TFA...I'd say this makes a case that 'things sort themselves out if left to do as they please', or self-regulation, are what you see when you aren't looking closely enough, and that in fact regulation helps large systems operate optimally.
Has it ever happened? Just curious.
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It said that "Swarm Theory" was being applied to business operations. I call bullshit. A computer model was run at night that provides the orders to all the drivers each morning. This flies in the face of the premise of swarm theory. If each driver were given a simple set of rules to follow for driving then it would be a direct application of swarm theory to operations. However, it's not swarm theory applied to operations, because each driver gets an order from corporate each morning. No local decision are made. It's just another algorithmic approach to combinatorial optimization with centralized management, which till I see a Big O notation, and some papers, I withhold comment on the computer model.
I used to wonder what was so holy about a silent night, now I have a child.
All this talk about ants collecting food their whole lives. I wonder when they actually eat it... And deciding who eats who much... Not fair for hard working ones(Lazy ants could just be sitting around)...
In Hollywood movies such as "I, Robot" and "Independence Day" a non-swarm organisational structure is assumed and actions by the hero, such as destroying the central processing core or blowing up the mothership, generally puts an immediate and dramatic end to the world's invasive trouble. What would happen in a movie where the invasive enemy had a swarm organisation? I'm not a movie buff at all, so can anyone point out any examples of this? Perhaps Hitchcock's "The Birds" (which I haven't seen) or some killer bee-type movie? On the other hand, movies like "I, Robot" and "Independence Day" also glorify the worth of individual thinking to benefit the whole, but more in terms of exceptional individuals who stand out over the rest, rather than to point out how a group of independent-minded individuals can overcome obstacles. (Again, any examples to the contrary?) Yet, it seems to me that it would be more beneficial to society as a whole to propaganise the swarm organisation. Will Hollywood catch on--with effect--or is Western society too enamoured with the cult of the individual for it to make a difference?
Check out Michael Crichton's Prey http://www.amazon.com/Prey-Michael-Crichton/dp/006 1015725. Very entertaining; inspired me to actually learn about swarming behavior (flock, spread out, etc.) and programming such things into robots...
Individuals are dumb (i.e. in the ants examples), but as a whole seems to be a pattern, some (lets pick correctly the words) "intelligent design" in how the group behaves. But there are not design there, not intelligent choices made by individuals or the group as a whole, just simple (mechanic?) interactions in the group much like sand making dunes. Seeing the the swarm as something intelligent because the dumb interactions seems to have a pattern tells more about the observer than about the swarm.
Swarms are smart? Hah! While they may have emergent behaviors, they are no smarter than their members. I'm wracking my brain trying to think of an example, but there are none. Fish swarm? Dumb. Ant trail? Dumb. Flock of geese? Dumb. Swarm of bees? Dumb. In fact, single bees appear to be much more intelligent than bee swarms.
Don't blame me, I didn't vote for either of them!
Fuck off and die.
Top scientific researchers today announced that analysis of the video content at popular sharing site YouTube has proven the theory that if you collect enough smarmy videos in one location, you can collect a swarm of randy young people that attracts a big, fat Sugar Daddy.
I thought that's how /. worked???
The contest for ages has been to rescue liberty from the grasp of executive power. -- Daniel Webster
Praise for the swarm!
The key to swarm intelligence is evolution and experience over a long time. Individuals who aren't responsible and don't follow the rules get wiped out by predators or accidents (or the society itself), and individuals have strong reasons for following the society's rules (personal survival). The corollary of this is that if we want to make humans behave intelligently within a group, we must make sure they know the rules and that failure to observe the rules would lead to personal and group death.
Oh. I thought we were an autonomous collective.
"... and more and more now there are all kinds of electronic goodies available" -- Pink Floyd 1972
Sounds like what is needed to make voting effective in a republic/democracy.
The idea that there is a net benefit for a group from the collective selfish actions of individual actors is closer to what this article is describing as swarm theory.
Actually, the article doesn't say anything about the collective selfish actions of anybody. In fact, in almost all the examples given, the actors are behaving unselfishly.
You are assuming the actors are the individuals, where the selfish actors are the genes. In social insects specific genetic relationships cause altruistic behavior in individuals because it is in the genes best interest for propagation to behave in such a way due to their unusual genetics. Applying, such social systems to human social systems would not be advised. Now applying ant routing mechanisms to route trucks, as in the article, that's a little more sensible.
Big apple, new Yorik, undig it, something's unrotting in Edenmark.
Not really, the nomenclature exists, it's called swarm intelligence. It's referred to in the article, it's the name of the (few) reference literature, etc. I've never heard it referred to as "swarm theory" or "swarm behaviour", and I took a swarm intelligence course last year, so I'm not sure why it was called like that in the slashdot excerpt in the first place.
theefer
The swarm intelligence algorithm is ran offline to determine a solution to the global problem. Indeed, ants "run" the "algorithm" inline as they don't leave the nest with a full plan of action, but the method used is still swarm intelligence, as opposed to, say, standard heuristic-based TSP solvers. The reason why it's not ran inline is that the cost of doing so is larger than the benefit, since the conditions are not very dynamic.
By the way there are many papers on the topic, although it's quite recent, just citeseer for "swarm intelligence".
theefer
one passage described how a flood disrupted a "relative" of hers, and even though the individual ants survived, the "relative" was no more - instead, a different "relative" was born.
it's one heck of a book - recommended for everyone into ai.
Not an expert in either, but expressing Swarm Theory in abstracts and application is basically Machine Learning concepts, such as Reinforcement? And the whole simple-rules-produce complex intelligent output demonstrated in both machine control (ball-balancing, process regulation, game AI, etc) and also the whole Steven Wolfram: A New Kind of Science - cellular automata for more simple-rules goodness?
...the hive swarms you.
"Self-interest" might be a problematic concept. Its pretty clear we're interpreting the same behaviour differently. Also, there's still that lurking element of anthropomorphism. If you disregard caribou "motives" and consider the behaviour as a set of system "weights," my argument might be clearer. All of the caribou are probably weighting environmental factors equivalently including the necessity to eat, building muscle and fat. Evolutionarily, if you are a caribou that persists in eating while a wolf approaches - and you are the nearest caribou, the weighted odds of becoming wolf chow are greatest for you. The nearest caribou is at the greatest hazard and millenia of evolutionary selection have established a tropism to move away from potential hazards. But, if you move away then some other member of the herd is now at greater hazard, so it becomes evolutionarily positively weighted to respond if a neighbor responds. By tracking your movement and copying the direction, they maintain their relative security compared with that of whoever initiated that potential threat response.
The rules are very simple. One is, "move away from unidentified movement." Another simple rule is, "if your neighbor moves toward you, move away." Both of these require a third, "remain aware (of your neighbors and surroundings)." A little evolutionary fine tuning via selection and properties like how close an unidentified movement can be before you respond and proximity versus response intensity (a mile away-keep eating, 100 yards-move away, 20 yards-panic and run) are built into the genome.
"Motives" in the sense of what we think of as "self-interest" and the individual making informed decisions on an action don't necessarily enter into the picture. That in fact is clear in the example of race track betting. Short of secretly altering the nature of the race through nobbling a horse or manipulating the fitness of riders and horses, the collective "intelligence" - if you will - of the bettors is capable of very accurately predicting the placing of every horse in a race. This is despite the fact that every bettor is trying to second guess the outcome and hopes to do better than the handicapped odds.
That is the really interesting aspect of swarm intelligence. Nothing in the nature of the individuals composing the swarm predicts anything about the capacity of the swarm entity itself.
------ The only greater hazard to your liberty than n politicians is n+1 politicians.