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Unity Artificial Intelligence Programming. Add powerful, believable, and fun AI entities in your game with the power of Unity 2018! - Fourth Edition

(ebook) (audiobook) (audiobook) Książka w języku 1
Unity Artificial Intelligence Programming. Add powerful, believable, and fun AI entities in your game with the power of Unity 2018! - Fourth Edition Dr. Davide Aversa, Aung Sithu Kyaw, Clifford Peters - okladka książki

Unity Artificial Intelligence Programming. Add powerful, believable, and fun AI entities in your game with the power of Unity 2018! - Fourth Edition Dr. Davide Aversa, Aung Sithu Kyaw, Clifford Peters - okladka książki

Unity Artificial Intelligence Programming. Add powerful, believable, and fun AI entities in your game with the power of Unity 2018! - Fourth Edition Dr. Davide Aversa, Aung Sithu Kyaw, Clifford Peters - audiobook MP3

Unity Artificial Intelligence Programming. Add powerful, believable, and fun AI entities in your game with the power of Unity 2018! - Fourth Edition Dr. Davide Aversa, Aung Sithu Kyaw, Clifford Peters - audiobook CD

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246
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Developing Artificial Intelligence (AI) for game characters in Unity 2018 has never been easier. Unity provides game and app developers with a variety of tools to implement AI, from the basic techniques to cutting-edge machine learning-powered agents. 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.
This fourth edition with Unity will help you break down AI into simple concepts to give you 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.
Further on, you'll learn how to distinguish the state machine pattern and implement one of your own. This is 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'll learn how to use Unity's built-in NavMesh feature and implement your own A* pathfinding system. You'll then learn how to implement simple ?ocks and crowd dynamics, which are key AI concepts in Unity. Moving on, you'll learn how to implement a behavior tree through a game-focused example. Lastly, you'll apply all the concepts in the book to build a popular game.

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O autorach książki

Dr. Davide Aversa holds a PhD in Artificial Intelligence (AI) and an MSc in AI and robotics from the University of Rome La Sapienza in Italy. He has a strong interest in AI for the development of interactive virtual agents and procedural content generation. He has served as a program committee member for video game-related conferences such as the IEEE conference on computational intelligence and games, and he also regularly participates in game-jam contests. He also writes a blog on game design and game development.
Aung Sithu Kyaw is passionate about graphics programming, creating video games, writing, and sharing knowledge with others. He holds an MSc degree in digital media technology from the Nanyang Technological University (NTU), Singapore. He worked as a research associate, which involved implementing a sensor-based real-time movie system using Unreal Development Kit. In 2011, he founded a tech start-up focusing on interactive media productions and backend server-side technologies.
Clifford Peters is a programmer and a computer scientist. He has reviewed the following Packt Publishing books: Unity Game Development Essentials, Unity 3D Game Development by Example Beginner's Guide, Unity 3 Game Development Hotshot, Unity 3.x Game Development by Example Beginner's Guide, Unity iOS Game Development Beginner's Guide, and Unity iOS Essentials.

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