Examples of evolvability

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Interestingly, heritability (intraclass correlation) was positively correlated with mean trait value, again confirming its independence from evolvability.
Comparing evolvability and variability of quantitative traits.
Evolvability, modularity, and adaptationism suggest that there must be a large number of genes available for adaptive evolution, but how many genes are required and how many genes are there?
Again, we can restate this is the context of "evolvability": we are the descendants of those animals whose expanding cortices had the plasticity to make use of new computational resources.
Both the intraclass correlation and evolvability harbour the genetic variance at the numerator, and it might be argued that this could induce a spurious positive correlation.
However, the problem of evolvability brings into question the number of genes required for the evolution of cognitive mechanisms.
Rewiring the keyboard evolvability of the genetic code.
A concept related to genetic constraint is evolvability.
Another issue regarding evolvability is interface management, which can be described as managing all sorts of connections between different parts of the system.
To achieve evolvability, the new or modified behaviors introduced to the system should minimally disturb the functions inherited from the previous architecture.
Both representations are order independent and largely context independent, which are desirable properties for evolvability.
Non-functional requirements such as portability, evolvability, development aordability, security, privacy or reusability cannot be assessed with respect to the current version of the working program.
These principles give rise to meta-principles, such as the evolution of evolvability and the plasticity of adaptation.
Thus, inferences about the future evolvability of a trait could possibly be made by testing adaptationist hypotheses and subjecting them to special design scrutiny.
For example, maintainers are mostly concerned with evolvability and portability while customers and developers are mostly concerned with development aordability and reusability.
A second consideration in the choice of representation is that of evolvability.
Both the heritability and evolvability estimates were higher in the combined stress treatment, reflecting an apparent increase in the additive genetic variance under stress.
Thus, this adaptive scaling will help the selection operator to keep a diversified population which means a good evolvability.
A good evolvability will be maintained if the selection pressure assures dynamically a good balance between exploitation and exploration.

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