We continue with the experiment described in the
previous chapter,
and start with a two CA proliferon
, consisting of a stem and a transitory process. The first maintains
the unit, and the second interacts with the environment. The images
below depict only the transitory process.
The second CA in the picture above is required to deliver its daily production. The order was given at the beginning of the experiment. After a brief transient, the CA starts oscillating at a period of 58 days. The next CA has to deliver 5 times its daily production. It shrinks and oscillates faster, producing less cells, and so does the last CA which had to deliver daily nine times its daily production.
During each
cycle the CA traverses two phases: Differentiation
(D) during which it accumulates cells and resources, and maturation
(M) during which it delivers them. The transition from D to M
is determined by the set point. The demand to deliver its daily production
is greater than the CA produces. It gradually shrinks
until it consists of a few undifferentiated stem cells which do
not deliver cells, and the cycle starts again.
The exaggerated demand on the lowest CA (demand = 9),
kills it, whereupon the stem process plants a new zygote.
When demand
is excessive, the entire CA is involved in cell production and the core
disappears. When its resources are depleted it dies, and is replaced with
a new zygote planted by the stem process.
Solution
space
The states of
the CA are traced by the vector: {demand, set point, width, core size, resources, period} It is
driven solely by the demand for resources. Each of the four CA configurations,
depicts a solution to a given demand. It is a
solution, since the CA oscillates
around a fixed point (attractor) and maintains a steady state.
Whatever the demand, the CA will always settle at a solution. It does not
matter whether the demand rises,
or declines, the CA will traverse the same solutions.
Suppose that the demand rises slowly, following a short transient, the CA will seek a solution. The proliferon proceeds from solution to solution.
This experiment illustrates the progression of a chronic disease
like cancer.
A chronic disease is the
outcome of an interaction between the body and environment.
It involves resource depletion (tolerance
decline) and a restructuring
of the body manifested by symptoms and signs. A disease is a
the most optimal WOB solution in circumstances, and progresses
from solution to solution.
The solution set
To my knowledge this proliferon behavior cannot be modeled by the available mathematical tools, e.g., differential equations, finite elements, AI, and AL The solution set is implied in the CA definition : {f[state[i, j], rule[#], age}| j = 2; state[1, 1] =1.
You plant a
zygote (state[1, 1] =1), grow a stem process. After
some time it plants a zygote which evolves into a transitory process. The
experiment starts when the proliferon attains
steady state (attractor). The solution
set is g[demand] = {demand[k] , (state[i,
1], rule[#], age), (state[i, 2], rule[#], age)}
| state[1, 1] =1.
Wisdom
of the Body (WOB)
The experiment illustrates the central theme of the ”New kind of Medicine”. WOB has two meanings. 1. The set of processes in the proliferon. 2. Proliferon wisdom, or its capability to attain a solution when driven by demand. The wisdom is in the process set. In the broader context of the organism, WOB sustains life.
Setup
nca=2; restoreparams[1,1,1];
restoreparams[2,1,1]; If [sa[[2]]
>=20, deleteon =1; If [sa[[2]]
<=2, deleteon = 0];