Crowd simulations are far less cut and dry. There really isn't any one way to implement them in a general sense. While not a strict restriction, the term generally refers to simulating crowds of humanoid agents navigating an area while avoiding each other and the environment. Like flocks, the use of crowd simulations has been widely used in films. For example, the epic armies battling one another in Lord of the Rings were completely procedurally generated using the crowd simulation software Massive, which was created for using it in the film. While the use of crowd algorithms is not as widespread in video games as in films, certain genres rely on the concept more than others. Real-time strategy games often involve armies of characters, moving in unison across the screen.
Unity AI Game Programming - Second Edition
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Unity AI Game Programming - Second Edition
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Overview of this book
<p>Unity 5 provides game and app developers with a variety of tools to implement artificial intelligence. Leveraging these tools via Unity’s API or built-in features allows limitless possibilities when it comes to creating your game’s worlds and characters. Whether you are developing traditional, serious, educational, or any other kind of game, understanding how to apply artificial intelligence can take the fun-factor to the next level!</p>
<p>This book helps you break down artificial intelligence into simple concepts to give the reader a fundamental understanding of the topic to build upon. Using a variety of examples, the book then takes those concepts and walks you through actual implementations designed to highlight key concepts, and features related to game AI in Unity 5. Along the way, several tips and tricks are included to make the development of your own AI easier and more efficient.</p>
<p>Starting from covering the basic essential concepts to form a base for the later chapters in the book, you will learn to distinguish the state machine pattern along with implementing your own. This will be followed by learning how to implement a basic sensory system for your AI agent and coupling it with a finite state machine (FSM). Next you will be taught how to use Unity’s built-in NavMesh feature and implement your own A* pathfinding system. Then you will learn how to implement simple flocks and crowd’s dynamics, the key AI concepts. Then moving on you will learn how a behavior tree works and its implementation. Next you will learn adding layer of realism by combining fuzzy logic concepts with state machines. Lastly, you learn applying all the concepts in the book by combining them in a simple tank game.</p>
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Unity AI Game Programming - Second Edition
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Table of Contents (15 chapters)
Unity AI Game Programming Second Edition
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
The Basics of AI in Games
Finite State Machines and You
Implementing Sensors
Finding Your Way
Flocks and Crowds
Behavior Trees
Using Fuzzy Logic to Make Your AI Seem Alive
How It All Comes Together
Index
Customer Reviews