Designing A Popular Game Framework Using Neat A Genetic Algorithms

The objective of conduct the current research is to understand the deep relationship between gaming along with how artificial intelligence (AI) is being incorporated into these fields. It is clear that gaming and AI have a natural connection, and the introduction of AI only strengthens this connection. This study aims to highlight the potential benefits of using AI in gaming and simulation, as well as the challenges that may arise in these contexts. The scope of the research includes exploring the various ways in which AI can be applied in gaming. In addition to optimizing programs and tasks, AI can be trained to work independently, reducing the need for human labour and potentially eliminating human error. Overall, this paper focuses on the diverse potential applications of combining AI with gaming and simulation. This research shows how AI can be learn to play independently with the help of Neuro Evolution of Augmenting Topologies (NEAT) a Genetic algorithm.