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Ant colonies and intelligence.

Cecil

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This is an offshoot of the Number Freaking thread:
I'm sure someone out there must be able to work this out, who has the most neurons (collectively) ants or humans?


Ant colonies exhibit surprisingly complex behaviour, which emerges from a set of simple rules. In fact, it is almost as though the colony itself is the organism, and the ants merely cells. For example:

* When the nest is damaged, the ants all band together to repair it.

* Older ants will "teach" young ants how to follow trails to food, often at considerable expense to themselves.

* Colonies can learn from past events. If the nest is destroyed, they will rebuild it; if the nest is subsequently destroyed again, the rebuilding will be faster the second time.

* The colony will find the most direct route to food over time. Ants lay scent (pheromone) trails when returning with food to show other ants where to go. Say there are two trails to the food, one short and one long. More return trips will be completed along the shorter path, making the pheromones stronger. This will cause ants to follow the shorter path preferentially.

* Older colonies seem more experienced. When food is dropped in the vicinity of the nest, they will quickly find it and organise for it to be transported into storage in the most efficient manner. Younger colonies are more disorganised and try different methods each time. Note that this is a different idea than the colony's finding the most direct route to the food over time.

* Colonies have intricate highway systems. Of course the ants carrying food need to return along the preexisting trail itself (it's better to have a narrow strong trail than a wide, weak one). However, since the ants not carrying food back to the nest travel faster, they will travel off to the side of the trails so as not to cause traffic jams.

* Aphids eat leaves and secrete a sweet liquid called honeydew. Some species of ants will protect aphids from predators and move them around to the best grazing locations in order to harvest this liquid. Leafcutter ants "farm" fungi, growing it in experimentally determined optimal conditions inside the nest.

The most amazing part of this, to me, is that all these behaviours are emergent from a set of simple rules. Ant colonies are anarchistic - there is no control system other than the brains of individual ants. This gives me great hope that neural networks will pan out as viable models of intelligent systems.

What do you think? Are ant colonies intelligent?

Or perhaps the question that is more on my mind now, do you think it's possible (in theory) for an ant colony to be conscious? Is there a fundamental difference between one group 10^11 neurons that communicate directly with each other, and 10^7 groups of 10^4 neurons each that communicate with each other through a dozen or so different signals?
 
I'd say that ant colonies are intelligent by any decent sense of the word.

I wrote a lovely little ant colony simulation that I show to prospective students on Open Days. It demonstrates how a system comprising purely of units that have no capacity for learning (the ants) can demonstrate learning as a system. Each virtual ant follows an unvarying set of rules and has no memory, and yet the colony adapts its behaviour as food sources are added or lost.

It's a very powerful demonstration of the importance of emergent behaviour in complex systems.

Anyway, as to the question of consciousness, I think that's one that's incredibly difficult to answer. In reality, I have no objective way of knowing that you have consciousness, so determining whether an ant colony is is close to impossible.

It's certainly something that's very interesting to think about, though :)
 
I wrote a lovely little ant colony simulation that I show to prospective students on Open Days. It demonstrates how a system comprising purely of units that have no capacity for learning (the ants) can demonstrate learning as a system. Each virtual ant follows an unvarying set of rules and has no memory, and yet the colony adapts its behaviour as food sources are added or lost.
I'm actually trying to write one of my own at the moment. Would you mind sending me your code for ideas? :)
 
I'm actually trying to write one of my own at the moment. Would you mind sending me your code for ideas? :)
There's a few pictures of the actual simulation here.
I used to have a link on the website where you could download it easily, but my network drive's down so I can't find out where it is

I'll send you a pm later, and I can email it to you, though :)
 
Would it be possible to adapt the mirror test to apply to an ants nest? I can't think how as it's constantly self 'grooming' anyway.

What about Pavlovian conditioning?

Are there other tests of intelligence in animals which could be adapted?

Is nest building regarded as an example of 'tool use'?
 
I'd say that ant colonies are intelligent. They certainly exhibit intelligent behavior.

I think they're less intelligent than my cats but more intelligent than several posters that I could name...
 
I wouldn't restrict this to ants; insects in general are the most successful life form on the plant so this atests to their evolutionary intelligence. Evolutionary intelligence being something completely different than mere intelligence.
 
I wouldn't restrict this to ants; insects in general are the most successful life form on the plant so this atests to their evolutionary intelligence. Evolutionary intelligence being something completely different than mere intelligence.

Aren't bacteria more successful?
 
Aren't bacteria more successful?

I guess you're right. In the sense that bacteria can exist without insects but not the other way around. In which case the same arguments about evolutionary intelligence apply.
 
Well, it's a very broad analogy. Let's compare an ant colony finding the best path to food, compared to your cat performing the same task. In the ant colony, 1000s of trials are done, both in parallel and in sequence, and some kind of optimization based probably on chemical strengths and random walks leads to an optimal path being found. Whereas the cat is probably doing some kind of symbolic processing. I don't know, but I suspect it isn't running 1000s of simulations in its head and optimizing to find the solution.

I can write very very good optimization algorithms on my computer, but I wouldn't call them intelligent, even if they are doing complex things. This is, again, based on the assumption that our brains aren't merely running highly parallel optimization routines.
 
Musing on this more, I remember watching some yaks trying to get to some food that a herder put out for them in Nepal. There was a stone wall (a corral) between the yaks and herder, but there was also a very obvious entrance/exit almost beside the yaks. They ran straight to the food, kind of scuttled back and forth at the wall, but showed no understanding that they could just walk through the exit beside them. The herder had to lead them by walking slowly with the food, but it was quite the process. These animals are DUMB.

A cat could have easily gotten to the food. Probably by co-opting it's pursuit algorithms. A cat or any predator wouldn't get far in the wild if it always ran straight towards the prey, regardless of what was in the way. that behavior probably developed through evolution, with no "smarts". but this mechanism can then be co-opted for other, more general uses, ie symbolic processing, and thus exhibit some degree of intelligence.

This is all just speculation, fueled by reading a lot of Dennett.
 
Well, it's a very broad analogy. Let's compare an ant colony finding the best path to food, compared to your cat performing the same task. In the ant colony, 1000s of trials are done, both in parallel and in sequence, and some kind of optimization based probably on chemical strengths and random walks leads to an optimal path being found. Whereas the cat is probably doing some kind of symbolic processing. I don't know, but I suspect it isn't running 1000s of simulations in its head and optimizing to find the solution.

I wouldn't be so fast to write off the analogy. Claiming that the cat is doing some kind of "symbolic processing" is a VERY strong claim, especially since the sort of processing for which we actually have neuroanatomical evidence is much closer to zillions of neurons doing essentially random things and then leaving chemical trails (in the forms of adjustments to the synapses) to make previously successful things easier to happen and then more likely.

The idea that all the brain does is run a highly successful parallel optimization routine is a popular one in some highly regarded schools of psychology, especially those with a neurobiological bent.
 
drkitten, I see your point. Which schools, btw.

I think you'll see my second post clarifies my idea, that simple things like pursuit algorithms can lead to intelligent behavior. Whether or not the pursuit algorithm is parallel or not I don't know, but I would suspect not. I'm open to correction, as I am speculating wildly.

I guess my idea is that each ant is a bundle of automonous algorithms, running in parallel, whereas I don't think that this is true in the cat's brain. Yes, parallel operation, but parallel, independent algorithms. Perhaps I am hung up on a distinction that doesn't matter?
 
I have always wondered if ant behavior could be considered moral. Are there cases where an individual ant does not perform his duty properly? I wonder what would happen to such and individual.
 
I have always wondered if ant behavior could be considered moral. Are there cases where an individual ant does not perform his duty properly? I wonder what would happen to such and individual.

Get eaten, probably. That's what happens to injured ants AFAIK.
 

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