Game playing is a massive industry, with 2.5 billion active gamers globally. The COVID-19 pandemic spurred an even greater surge in gaming as enthusiasts stayed home and tapped into the immersive experience of online video games. This is set to continue for years to come as the technology continues to evolve. AI will play a major part in this future, enabling more immersive and nonlinear gameplay. 92jeeto Register
One example of this is reinforcement learning, a form of deep learning that embraces a trial-and-error approach, assessing the rewards and consequences of actions to guide decision making. AI within video games can leverage this to learn from its own mistakes and maximize the positive outcomes of a given action. This enables more natural, intelligent and adaptable NPCs that can take on the player’s role and challenge their skill.
AI in Serious Games and Simulations
Another example of this is the use of generative AI. This can produce an infinite number of 3D object models and other minor game assets to densely populate a game world, which would be infeasible to create manually. This reduces development time and allows creators to focus on higher-level design and storytelling elements.
However, this generative AI isn’t without its problems. Artists, like Jess Bradley, a veteran concept artist who works at a video game studio, believe that generative art could lead to copyright infringement as tools are trained on vast quantities of text and images scraped from the internet. This has led to third parties releasing ethical generative AI tools that claim to only use data authorised by the developer.…