( Akten-2016)

autonomous collaborative creative agent

Monte Carlo Tree Search (MCTS)

( Edmonds-2000)

intelligent user interface

promotes enhanced creative thinking

( Isola-et-al-2017)

It would be highly desirable if we could instead specify only a high-level goal, like “make the output indistinguishable from reality”, and then automatically learn a loss function appropriate for satisfying this goal. Fortunately, this is exactly what is done by the recently proposed Generative Adversarial Networks (GANs) [ 22 , 12 , 41 , 49 , 59 ]   (Isola et al., 2017, p.1126)

( Karras-et-al-2020)

unconditional image modeling,

( Poltronieri-et-Hanska-2019)

GOFAI (Good Old Fashioned Artificial Intelligence)

GANs (Generative Adversarial Networks)

( Pouyanfar-et-al-2018)

Deep learning, which has its roots from conventional neural networks, significantly outperforms its predecessors. It utilizes graph technologies with transformations among neurons to develop many-layered learning models.