**Vitality
and Health-1**

**health**** = v m
**v : tolerance accumulation rate.

m : remains undefined for a while.

**v** rises linearly, **m**
equals approximately to 1, and health = v. Both
variables can be estimated with linear regression of v. b
is the slope of v, and k its
correlation coefficient, which will be taken as an m estimate. In the
isolated state, v = b = 0.0443 and m = k = 0.994. Once CA start to interact
both variables change, and m < 1.
**m** might be regarded as an **interaction indicator**.
Roughly the more intensive CA interaction, the smaller k. Nevertheless,
since **m** is non-linear it is not entirely (negatively)
proportional to CA interaction.

The parameter set remains the same as in the previous
experiment except that the change state functions vary:

**change state**: [state[1, i+1] = state[0. 1],
state[0, k]];

**change state**: [state[2, i+1] = state[0. 1], state[0, k]];

**change state**: [state[3, i+1] = state[0. 1], state[0, k]]; {k,
1, 46}

The black line is the velocity of an isolated CA-0,
which is faster than CA-1. Thus CA-1 decelerates in relationship to
CA-0, and is less healthy.