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In the 1990s, engineers studied the numbers of sexes that should be used in genetic algorithms (a method of engineering using random mutations on ‘genes’, which are typically options for algorithms, and fitness testing, loosely based on Darwinian evolution).

They found that the optimal number of sexes averages between 2 and 3.

in which 60 pre-adolescents and adolescents (ages 9–17 years) were led to believe that they were interacting with other youth in a simulated internet chatroom.

Last modified 28-Oct-2019 13:08