# Entropy Non-increasing Games for the Improvement of Dataflow Programming

## TL;DR

This paper introduces Samu Entropy, a new family of esport games aimed at enhancing dataflow programming graphs like TensorFlow, emphasizing AI development through innovative game design.

## Contribution

It proposes a novel concept of esport games that integrate AI development with dataflow graph optimization, exemplified by the Face Battle game.

## Key findings

- Samu Entropy games relate closely to AI and dataflow graphs.
- Face Battle demonstrates practical implementation of the concept.
- The project explores new AI creation methods through esport games.

## Abstract

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.