Glossary

General Game Playing (GGP) is a fascinating artificial intelligence subfield concentrated on building intelligent agents, skilled in performing diverse high-level games.

A Generative Adversarial Network (GAN) is an AI model with two neural networks—a generator and a discriminator. They work together to create and validate synthetic data samples. Both real and generated distributions are used in the process, increasing the reliability of the results.

Generative Adversarial Network (GAN) is an AI learning structure, involving competing neural networks – a generator and a discriminator – developed by Ian Goodfellow in 2014.