Entropy Non-increasing Games for the Improvement of Dataflow Programming
This work proposes a novel approach to enhance dataflow programming through esport games, but it appears incremental as it focuses on requirements and a single reference game without demonstrated results.
The authors introduced Samu Entropy, a family of esport games designed to improve dataflow programming graphs like TensorFlow, and presented a reference game called Face Battle as an implementation.
In this article, we introduce a new conception of a family of esport games called Samu Entropy to try to improve dataflow program graphs like the ones that are based on Google's TensorFlow. Currently, the Samu Entropy project specifies only requirements for new esport games to be developed with particular attention to the investigation of the relationship between esport and artificial intelligence. It is quite obvious that there is a very close and natural relationship between esport games and artificial intelligence. Furthermore, the project Samu Entropy focuses not only on using artificial intelligence, but on creating AI in a new way. We present a reference game called Face Battle that implements the Samu Entropy requirements.