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Project: Worlds

generate pseudorandom scalar attributes

in order to quickly create complex domains
a world creator should be able to create populations with pseudorandom scalar attributes

Scenarios
single scalar feature
Given
a feature "height" with mean 70 and standard deviation 30
When
a large population is sampled
Then
the empirical rule should hold
two scalar features
Given
a feature "height" with mean 80 and standard deviation 20
And
a feature "weight" with mean 150 and standard deviation 15
When
a large population is sampled
Then
the empirical rule should hold
multiple scalar features
Given
a feature "height" with mean 80 and standard deviation 20
And
a feature "weight" with mean 150 and standard deviation 15
And
a feature "foot size" with mean 12 and standard deviation 2
When
a large population is sampled
Then
the empirical rule should hold

Last published about 7 years ago by jweissman.