Generative AI for Game Development
Description
In the era of Generative AI, creating immersive and adaptive experiences in game development has become more innovative and practical than ever before. This book looks to deepen your expertise in using tools such as GPT, DALL-E, and VADER to design dynamic narratives, procedurally generated content, and create AI-powered gameplay.
Divided into six parts, you will start from building foundational concepts to implementing advanced projects. Early chapters establish a shared understanding of narrative structures, interactive storytelling types, and tools like Twine, Flask and Python. It then progresses to designing branching story frameworks, crafting emotionally adaptive narratives, and creating AI-driven characters with dynamic dialogue and behavioral depth. Further chapters focus on procedural generation for world building, showing how to leverage AI for dynamic environments, levels, and storytelling events. A dedicated section dives into C# and Unity, providing hands-on projects such as integrating AI for real-time narrative adaptation, dynamic NPC behavior, and procedural world generation in Unity. These patterns are also revisited in non-game contexts to highlight their broader applicability.
This book equips you with knowledge to master Generative AI tools and techniques for creating sophisticated, interactive games. Whether you're looking to enhance your current workflows or explore new creative frontiers, this book guides you to building engaging, adaptive, and innovative experiences that blend AI technology with human creativity.
What You Will Learn
Master designing dynamic narratives and characters with Generative AI
Learn to integrate AI into game development with C# and Unity
Find out how to leverage AI for procedural world building and interactive experiences
Who Is This Book For
This book is designed for intermediate-level developers, writers, and game designers who already have foundational knowledge in storytelling, programming, and/or game design and are looking to expand their skills with Generative AI technologies.
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Person
Shesh Narayan Gupta is a Senior Manager in a Financial Services organization and holds a Master's Degree in Data Science. With a strong foundation in artificial intelligence and years of professional experience in data-driven problem-solving, he brings a unique perspective to intersection of technology, creativity, and storytelling. His expertise spans machine learning, Generative AI, and practical applications of AI in various industries, including finance, marketing, and education.
As a seasoned data science leader who is also featured in Times New Square for his contributions in data science, Shesh Narayan has been at the forefront of leveraging AI technologies to drive innovation and efficiency in real-world scenarios. Beyond his corporate career, he has a deep passion for storytelling, mentoring, and game design, which has led him to explore how Generative AI can revolutionize narrative creation, game development, and interactive media.
Content
Chapter 1: What is Generative AI?.- Chapter 2: Why Generative AI Matters in Game Development.- Chapter 3: Purpose and Audience of the Book.- PART I: FOUNDATIONS OF AI STORYTELLING .- Chapter 4: What is Storytelling?.- Chapter 5: Understanding Narrative Structures.- Chapter 6: Types of Interactive Narratives.- Chapter 7: AI Tools and Technologies for Storytelling.- Chapter 8: Ethical and Practical Considerations.- PART II: DESIGNING INTERACTIVE NARRATIVES .- Chapter 9: Creating Branching Story Frameworks.- Chapter 10: Designing Emotionally Engaging Narratives with AI.- Chapter 11: Emotionally Adaptive Storytelling.- Chapter 12: Dynamic Character Creation.- PART III: IMPLEMENTING AI-DRIVEN STORYTELLING .- Chapter 13: Integrating AI Models into Game Development.- Chapter 14: Procedural Worldbuilding with AI.- Chapter 15: Advanced Applications in C# and Unity.- PART IV: ADVANCED TECHNIQUES ACROSS INDUSTRIES .- Chapter 16: AI in Educational Storytelling.- Chapter 17: Corporate and Marketing Applications.- Chapter 18: Therapeutic and Emotional AI Narratives.- Part V: Challenges, Best Practices, and Future Trends .- Chapter 19: Common Challenges in AI Storytelling.- Chapter 20: Best Practices for AI Storytelling.- Chapter 21: The Future of Generative AI in Storytelling.- Chapter 22: Interviews with Industry Professionals.- Part VI: Practical Projects and Templates .- Chapter 23: Step-by-Step Projects.- Chapter 24: Templates and Frameworks.- Chapter 25: Project Variations.
