I believe it is referred to in the book "Unto Others" by David Sloan Wilson and 
Eliot Sober.


________________________________________
From: [email protected] [[email protected]] On Behalf Of Ted 
Carmichael [[email protected]]
Sent: Friday, July 09, 2010 5:34 AM
To: The Friday Morning Applied Complexity Coffee Group
Subject: [FRIAM] Real-world genetic algorithm example... help!

Dear all,

I'm trying to find reference to a story I read some time ago (a few years, 
perhaps?), and I'm hoping that either: a) I heard it from someone on this list, 
or b) someone on this list heard it, too.

Anyway, it was a really cool example of a real-world genetic algorithm, having 
to do with chickens.  Traditionally, the best egg-producing chickens were 
allowed to produce the offspring for future generations.  However, these new 
chickens rarely lived up to their potential.  It was thought that maybe there 
were unknown things going on in the clusters of chickens, which represent the 
actual environment that these chickens are kept in.  And that the high 
producers, when gathered together in these groups, somehow failed to produce as 
many eggs as expected.

So researchers decided to apply the fitness function to groups of chickens, 
rather than individuals.  This would perhaps account for social traits that are 
generally unknown, but may affect how many eggs were laid.  In fact, the 
researchers didn't care what those traits are, only that - whatever they may be 
- they are preserved in future generations in a way that increased production.

And the experiment worked.  Groups of chickens that produced the most eggs were 
preserved, and subsequent generations were much more productive than with the 
traditional methods.

Anyway, that's the story.  If anyone can provide a link, I would be very 
grateful.  (As I recall, it wasn't a technical paper, but rather a story in a 
more accessible venue.  Perhaps the NY Times article, or something similar?)

Thanks!

-Ted

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