A Minimal Nonlinear System

The design of the present experiment is the same as in the previous page only that both CAs interact.  i ={1 , 2}.  The next image depicts CA structure and position at respective delays of 17, and 19 days. Cell production during a life time of a CA is given below its image.

The following graphs depict survival, cell content, and daily production as a function of CA-1 delay.


The cost of the product is determined by  two factors : 1. Turnover time, and 2. CA size (cell content) (= resources) .
The maximum of  fraction f-1 = (cell production)/ (turnover time)  is at delay =17.
The maximum of  fraction f-2 = (cell production)/( turnover time * cell content) is at delay = 19.

WOB computer

This experiment illustrates what kind of problems WOB computer is expected to compute.
Given a rule, two zygotes, and  interaction  I ={ j , k}.  Zygote 2 is planted at t = 0.
When to plant the first zygote so that the system will maximize cell production at the lowest cost?  You may notice that the solution is somewhat counter intuitive.

This experiment illustrates also how our WOB solves our existence problems. WOB will always favor  a  solution which requires the smallest cost. Since many such solutions  seem counter intuitive, physicians unnecessarily  intervene and harm the patient.

Survival of the fittest

The f-2 graph illustrates what survival advantage might mean. You plant 25 zygote couples, each with a different CA-1 delay. When a couple dies it is replaced by a new zygote couple. After several generations the couple with a 19 delay will outnumber the others. Since its CAs are small their turnover time is short, and they need fewer resources to mature.

Further reading:

WOB computer 

WOB is optimal


Previous Page
Next page