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Revolutionizing Immersion: AI-Driven NPCs and Environments Redefine Realism in Gaming with Titles like 'CyberGenesis

EasyChair Preprint no. 12041

11 pagesDate: February 12, 2024

Abstract

This paper explores the groundbreaking intersection of Artificial Intelligence (AI) and gaming, with a particular focus on the game 'CyberGenesis.' By harnessing advanced AI algorithms, this title redefines the gaming landscape through the creation of hyper-realistic Non-Player Characters (NPCs) and dynamically evolving environments. Through machine learning, natural language processing (NLP), and procedural generation techniques, 'CyberGenesis' blurs the lines between virtual and reality, offering players an unparalleled level of immersion. The NPCs in 'CyberGenesis' showcase the pinnacle of AI-driven character development. These virtual entities not only adapt to player actions but also learn and evolve over time, providing a level of unpredictability and autonomy rarely seen in traditional gaming. The game leverages NLP to facilitate realistic conversations between players and NPCs, enriching the narrative and establishing a profound connection between the virtual world and the player. Moreover, the environments in 'CyberGenesis' exemplify the fusion of procedural generation and machine learning. The game generates diverse and ever-changing landscapes that respond dynamically to player choices. This synthesis of technologies creates an immersive and challenging gaming experience, where players navigate through virtual realms that mirror the complexity of the real world.

Keyphrases: Artificial Intelligence, CyberGenesis, Dynamic Characters, environments, gaming, Immersion, Interactive Entertainment, machine learning, NPCs, realism

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:12041,
  author = {Haney Zaki},
  title = {Revolutionizing Immersion: AI-Driven NPCs and Environments Redefine Realism in Gaming with Titles like 'CyberGenesis},
  howpublished = {EasyChair Preprint no. 12041},

  year = {EasyChair, 2024}}
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