GAN moves v.1
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Movement score based off of GAN (General Adversarial Network) machine learning. A Discriminator, the human voice, answers “yes” or “no” based off of whether or not movement provided fits a specific set of parameters. These parameters are drawn from cards at random, and they are unbeknownst to the Generator, the human mover. The Generator chooses from any data set of embodied movement to offer to the Discriminator’s lens.
The goal is a “yes.” What may be more interesting is the semi-broken back and forth between the human players.
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