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Procedural Content Generation for C++ Game Development

Procedural Content Generation for C++ Game Development

By : Dale Green
2.7 (7)
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Procedural Content Generation for C++ Game Development

Procedural Content Generation for C++ Game Development

2.7 (7)
By: Dale Green

Overview of this book

Procedural generation is a growing trend in game development. It allows developers to create games that are bigger and more dynamic, giving the games a higher level of replayability. Procedural generation isn’t just one technique, it’s a collection of techniques and approaches that are used together to create dynamic systems and objects. C++ is the industry-standard programming language to write computer games. It’s at the heart of most engines, and is incredibly powerful. SFML is an easy-to-use, cross-platform, and open-source multimedia library. Access to computer hardware is broken into succinct modules, making it a great choice if you want to develop cross-platform games with ease. Using C++ and SFML technologies, this book will guide you through the techniques and approaches used to generate content procedurally within game development. Throughout the course of this book, we’ll look at examples of these technologies, starting with setting up a roguelike project using the C++ template. We’ll then move on to using RNG with C++ data types and randomly scattering objects within a game map. We will create simple console examples to implement in a real game by creating unique and randomised game items, dynamic sprites, and effects, and procedurally generating game events. Then we will walk you through generating random game maps. At the end, we will have a retrospective look at the project. By the end of the book, not only will you have a solid understanding of procedural generation, but you’ll also have a working roguelike game that you will have extended using the examples provided.
Table of Contents (13 chapters)
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12
Index

Exercises

To enable you to test your knowledge of this chapter's content, here are a few exercises that you should work on. They are not imperative to the rest of the book, but working on them will help you access your strengths and weaknesses in the material covered.

  1. Using the std::rand() function with the modulo operator (%), for updating random_numbers.cpp to generate numbers that fall within the following ranges:
    • 0 to 1000
    • 150 to 600
    • 198 to 246
  2. Come up with a new way of generating a random seed during the runtime. There are lots of ways to do this. So be creative! In my solution, the first numbers were always similar. Find out whether you can generate a random seed that mitigates that.
  3. Have a look at your game collection and find out whether you can identify where procedural generation has been used.
  4. Which of the following are examples of procedural generation?
    • Loading a song
    • Ragdoll physics
    • Creating unique objects during the runtime
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