Book Image

Procedural Content Generation for C++ Game Development

By : Dale Green
Book Image

Procedural Content Generation for C++ Game Development

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 (19 chapters)
Procedural Content Generation for C++ Game Development
Credits
About the Author
Acknowledgment
About the Reviewer
www.PacktPub.com
Preface
Index

Random number distribution


Let's build upon what we know about random number generation to distribute numbers randomly. We'll achieve this by first generating n numbers between 0 and 100. If we add these together we get a random total where each of our individual numbers represents a percentage of that. We can then take that percentage of our goal number to get a random portion. The following code demonstrates this and will make it clearer.

You can download the code for this program from the Packt website. It will be in the Examples folder, and the project name is random_distribution:

#include <iostream>

using namespace std;

// Entry method of the application.
int main()
{
  // Create and initialize our variables.
  int upperLimit = 0;

  // Output instructions.
  cout << "Enter a number, and we'll split it into three random smaller numbers:" << endl;
  cin >> upperLimit;
  cout << endl;

  float number1Bias = rand() % 101;
  float number2Bias = rand() % 101...