A Comprehensive Review on Artificial Intelligence Based Machine Learning Techniques for Designing Interactive Characters

Abstract

The recent progress in artificial intelligence based machine learning techniques has renewed interest in building and designing the interactive characters. To achieve optimal performance many techniques have been used along with the neural networks, which are prepared end to end in tasks such as object recognition video games and board games. In this paper, a review of current literature is carried out where the challenges in real time strategy game and the tasks in a real-time environment are explored. The comparative analysis is made on different AI based machine learning techniques to comprehend the performance issues and other challenges faced. Furthermore, discussion of the advantages and disadvantages of each technique is conducted so as to understand and compare the efficiencies with the existing techniques based on the strategies.

Novel Role of Artificial Intelligence Utilization by Concept Designers in Video Games

“…The concept designers focus on exploring new designs and methods on the basis of artificial intelligence. The responsibility of the concept artist is to develop a new style and look of a game (Nawalagatti & PRAKASH, 2018). It is expected that with the utilization of artificial intelligence new technologies can help in producing efficient game look.…”