Artificial Neural Networks Explore Color Naming System Similar To Humans

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Language is probably humanity’s most distinguishing attribute, but we still don’t wholly comprehend many of its fundamental properties, for instance, how it evolved to be such an efficient system. Facebook Artificial Intelligence (AI) models attempted to recreate the exact circumstances and communication processes to imitate natural behavior to better understand this.

Let’s dig into what they did.

Two neural networks (NNs) were devised, a speaker and a listener. They were assigned the task of playing the “Communication Game”. So the round starts as the Speaker sees a color chip from a continuous color space and creates a distinct sound that can be considered equivalent to the human word. Now it’s the listener’s turn to interpret the correct meaning. The listener is provided with two color options, out of which one is correct, and the listener attempts to choose the correct one.

Summary: https://www.marktechpost.com/2021/04/07/artificial-neural-networks-explore-color-naming-system-similar-to-humans/

Paper: https://www.pnas.org/content/118/12/e2016569118?

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