GAME APPLICATION WITH MACHINE LEARNING ELEMENTS
Abstract
Nowadays, artificial intelligence is used in many areas of activity. In this article we will present the advantage of using AI in the gaming industry. Game development is a complex and time-consuming effort. The game environment, storylines, and character behaviors are carefully thought out, so graphic artists, storytellers, and software developers need to work in unison. Often games end with a delicate combination of hardware behavior in the form of traditional code and a slightly more responsive behavior in the form of a large set of rules. Everywhere around us, our perception of learning and intelligence is challenged daily with the advent of new and emerging technologies. From self-driving cars, go games and Chess to computers capable of defeating people in classic Atari games, the emergence of a group of technologies we colloquially call “Machine learning” has come to dominate a new era of technological growth - a new era of growth that has been matched with the same meaning as the discovery of electricity, and has already been categorized as the next technological age of man. Machine learning is the realization of artificial intelligence. It is a way for a computer to assimilate data or state and provide a learned solution or response. Now we often think of AI as a broader term that reflects a “smart” system.
About the Authors
S. M. SlyamkhanKazakhstan
A. A. Yembergenov
Kazakhstan
N. S. Bordousov
Kazakhstan
S. B. Mukhanov
Kazakhstan
References
1. James R. Parker. The University of Calgary. Game That Teaches Machine Learning Concepts - A Postmortem. (October 2014).
2. Georgios N. Yannakakis and Julian Togelius. Artificial Intelligence and Games. (January 26, 2018).
3. Micheal Lanham. Fundamentals of Unity Machine Learning. (June 2018).
4. Андрей Верещагин. Компьютерная помощь: как технология машинного обучения может повлиять на игровую индустрию. (2018).
5. Natasha Mathur. Uses of Machine Learning in Gaming. (2018).
6. Guest Post (Part 1): Demystifying Deep Reinforcement Learning (Q- Learning), 2015.
Review
For citations:
Slyamkhan S.M., Yembergenov A.A., Bordousov N.S., Mukhanov S.B. GAME APPLICATION WITH MACHINE LEARNING ELEMENTS. Herald of the Kazakh-British Technical University. 2019;16(3):504-509.