The usual reason for building things in is that it reduces trial-and-error learning. That’s good if the errors are expensive and have a negative impact on fitness.
Is there something wrong with that explanation in this context?
The usual reason for building things in is that it reduces trial-and-error learning. That’s good if the errors are expensive and have a negative impact on fitness.
Is there something wrong with that explanation in this context?