Resolution:
## Figure 2.
Likelihood of finding a viable individual with a random input vector in the discrete
and continuous models. The Discrete Output Vector model (DOV) is an adaptation of Wagner's original model
with continuous values in the network and discrete values in the output vector, resulting
from a choice of a = 100 in Equation 3. The additional requirements for stability still hold (minimum
population variance of 0.1). The continuous output vector model (COV) rarely yields
viable individuals in networks with a small number of genes, but quickly matches and
exceeds the likelihood of the DOV in networks with 6 genes. With more than 7 genes,
the COV is actually more efficient at yielding viable individuals than the DOV, while
maintaining a higher population variance (not shown).
Carneiro |