Tory --

How does this relate (if at all) to the simplistic group dynamics model I 
learned in business school (attributed to Bruce Tuckman)?

forming
storming
norming
performing

 

 At a minimum, I'm missing a stage, and I'm sure there's much more to your 
analysis. Excuse my speculations.

- Claiborne Booker -


 

 

-----Original Message-----
From: Victoria Hughes <[email protected]>
To: The Friday Morning Applied Complexity Coffee Group <[email protected]>
Sent: Fri, Jul 9, 2010 8:14 pm
Subject: Re: [FRIAM] Projects:  5 Stages


Yup, in most cases. Sometimes limitations force unusual, possibly more 
successful, resolutions. I don't know the book, will look into it. Thanks.


Tory




On Jul 9, 2010, at 5:51 PM, Stephen Thompson wrote:


 
 Tory:  
 
 I am part way through Scott Page's book titled The Difference  He discussed 
the the power of diversity to 
 produce better groups and outcomes.  Are you aware of that reference?  None, 
some, or much diversity 
 would influence the stages or at least successful completion of the stages 
would it not? 
 
 Steph T  
 
 
 
 
 Victoria Hughes wrote: 
Fascinating. The original story and its appearance/discussion here.  

  
 I am writing a book on the five simple stages that projects move through, from 
idea to reality. 
  
 Part of the chapter, whose midst I am in, discusses "teams", inner and outer:  
the grouping  of abilities and attributes required to get unstuck and get 
something done. 
  
 Sometimes the 'crate o' chickens' is outside of us,  if we are working with a 
team.  Sometimes our team is made from aspects of our own mind: the internal - 
complex- interconnection of knowledge, abilities, ideas, etc all squawking, 
laying, attacking, defending, at once, inside our brains.
  

  
  
 Glad to know that even among the inheritors of the reptilian hind brain there 
can be cooperation for a larger good, even if that is for more chickens. 
  

  
  
 Tory
  

  
  
  
  
On Jul 9, 2010, at 4:53 PM, Ted Carmichael wrote:
  
  
Well, it wouldn't ... unless you were selecting for the lowest producing hens.  
  

    
    
The GA selects for the groups of chickens that produce the most eggs, not the 
individuals.  Some of those individuals may actually not produce many eggs, but 
they must somehow help the ones that do produce more eggs (in their group).
    

    
    
-t
    
    
On Fri, Jul 9, 2010 at 6:47 PM, Shawn Barr    <[email protected]> wrote:
    
 Ted,
      
 I'm confused.  Why would a genetic algorithm ever select a hen that produces 
fewer eggs over a hen that produces more eggs?
      
      
 Shawn      
      

      
      
On Fri, Jul 9, 2010 at 2:57 PM, Ted Carmichael <[email protected]> wrote:
      
Nick, this is perfect.  Thank you!        

        
        
BTW - the reason for this request is, my advisor and I were asked to write a 
chapter on Complex Adaptive Systems, for a cognitive science textbook.  In it, 
I talk briefly about GA, and put this story about the chickens in because I 
thought it was a neat example.
        

        
        
I'll add the references now.  Much appreciated.
        

        
        
-t
        
                
        
        
On Fri, Jul 9, 2010 at 12:28 PM, Nicholas Thompson <[email protected]> 
wrote:
        
        
        
          
          
          
          
          
Ted, 
          
 
          
Ok.  So, if I am correct,  this was an actual EXPERIMENT done by two 
researchers at Indiana University, I think.  As  I "tell" the "story", it was 
the practice to use individual selection to identify the most productive 
chickens, but the egg production method involved crates of nine chickens.  The 
individual selection method inadvertently selected for the most aggressive 
chickens, so that once you threw them together in crates of nine, it would be 
like asking nine prom queens to work together in a tug of war.  The chickens 
had to be debeaked or they would kill each other.  So, the researchers started 
selection for the best producing CRATES of chickens.  Aggression went down, 
mortality went down, crate production went up, and debeaking became 
unnecessary.  
          
 
          
The experiment is described in Sober and Wilson's UNTO OTHERS or Wilson's 
EVOLUTION FOR EVERYBODY,  which are  safely tucked away in my book case 2000 
miles away in Santa Fe.   Fortunately, it is also described in 
          
 
          
Dave Wilson's blog  
http://www.huffingtonpost.com/david-sloan-wilson/truth-and-reconciliation_b_266316.html
          
 
          
Here is the original reference: 
          
 
          
GROUP SELECTION FOR ADAPTATION TO MULTIPLE-HEN CAGES : SELECTION PROGRAM AND 
DIRECT RESPONSES 
          
Auteur(s) / Author(s)
          
MUIR W. M. ; 
          
Revue / Journal Title
          
Poultry science    ISSN  0032-5791   CODEN POSCAL  
          
Source / Source
          
1996, vol. 75, no4, pp. 447-458 [12 page(s) (article)]
          
 
          
If you Google "group selection in chickens," you will find lots of other 
interesting stuff. 
          
 
          
 
          
Let me know if this helps and what you think.  
          
 
          
N
          
 
          
Nicholas S. Thompson
          
          
Emeritus Professor of Psychology and Ethology, 
          
Clark University ([email protected])
          
http://home.earthlink.net/~nickthompson/naturaldesigns/
          
http://www.cusf.org [City University of Santa Fe]
          
 
          
 
          
 
          
          
          
 
          
            
            
----- Original Message ----- 
            
            From: Ted Carmichael 
            
            
            
To:            The Friday Morning Applied Complexity Coffee Group
            
            
            
Sent: 7/9/2010 5:34:29 AM 
            
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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  TORY HUGHES  
[email protected]
  
Tory Hughes website
  
Facebook|Tory Hughes Art
  
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TORY HUGHES
[email protected]
Tory Hughes website
Facebook|Tory Hughes Art
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