This research introduces Procedural Artificial Narrative using Generative AI (PANGeA), a structured approach for leveraging large language models (LLMs), guided by a game designer's high-level criteria, to generate narrative content for turn-based role-playing video games (RPGs). Distinct from prior applications of LLMs used for video game design, PANGeA innovates by not only generating game level data (which includes, but is not limited to, setting, key items, and non-playable characters (NPCs)), but by also fostering dynamic, free-form interactions between the player and the environment that align with the procedural game narrative. The NPCs generated by PANGeA are personality-biased and express traits from the Big 5 Personality Model in their generated responses. PANGeA addresses challenges behind ingesting free-form text input, which can prompt LLM responses beyond the scope of the game narrative. A novel validation system that uses the LLM's intelligence evaluates text input and aligns generated responses with the unfolding narrative. Making these interactions possible, PANGeA is supported by a server that hosts a custom memory system that supplies context for augmenting generated responses thus aligning them with the procedural narrative. For its broad application, the server has a REST interface enabling any game engine to integrate directly with PANGeA, as well as an LLM interface adaptable with local or private LLMs. PANGeA's ability to foster dynamic narrative generation by aligning responses with the procedural narrative is demonstrated through an empirical study and ablation test of two versions of a demo game. These are, a custom, browser-based GPT and a Unity demo. As the results show, PANGeA holds potential to assist game designers in using LLMs to generate narrative-consistent content even when provided varied and unpredictable, free-form text input.

Take your first steps to becoming a 3D character artist - learn everything from modelling to painting to animating the character. The course is the sequel to the highly popular Blender Character Creator course, enjoyed by 10s of thousands of students. This course has been created using Blender 2.83 and is compatible with newer versions of Blender. Whether you're a beginner or more advanced, the experienced instructors will take you through every step of the process, ensuring that you aren't just "copy and pasting" what you see, but learning the tools and developing your own creative process as you go. For each concept taught this course includes a relevant challenge for you to implement yourself.

What you see here is the gameplay of a very popular video game called GTA 5. It looks super realistic, but it is still obvious that this is a video game. No, this is not real life. It is still the same GTA5 gameplay that went through a new model using artificial intelligence to enhance its graphics and make it look more like the real world! The researchers from Intel Labs just published this paper called Enhancing Photorealism Enhancement.

Is your youngster a designer at heart? Designing Digital Games helps children apply their design skills to video game design using Scratchâ€"and this book! Introducing simple programming concepts over the course of three easy-to-follow projects, it shows your child how to use the free Scratch platform to create a video game from the ground up. An extension of the trusted For Dummies brand, this juvenile book has a focus on accomplishment and provides all the steps to help young readers learn basic programming concepts to complete cool projects. From using sprites to create a game with a digital pet snake to creating maze games and cloning sprites to create a fun, attack-style game, this approachable guide offers simple, friendly instruction while building kids' confidence in designing digital games.