Unity 2018 Artificial Intelligence Cookbook: Over 90 recipes to build and customize AI entities for your games with Unity, 2nd Edition
By 作者: Jorge Palacios
ISBN-10 书号: 1788626176
ISBN-13 书号: 9781788626170
Edition 版本: 2nd Revised edition
Release Finelybook 出版日期: 2018-08-28
pages 页数: (334 )
Book Description to Finelybook sorting
Interactive and engaging games come with intelligent enemies, and this intellectual behavior is combined with a variety of techniques collectively referred to as Artificial Intelligence. Exploring Unity’s API, or its built-in features, allows limitless possibilities when it comes to creating your game’s worlds and characters. This cookbook covers both essential and niche techniques to help you take your AI programming to the next level.
To start with, you’ll quickly run through the essential building blocks of working with an agent, programming movement, and navigation in a game environment, followed by improving your agent’s decision-making and coordination mechanisms – all through hands-on examples using easily customizable techniques. You’ll then discover how to emulate the vision and hearing capabilities of your agent for natural and humanlike AI behavior, and later improve the agents with the help of graphs. This book also covers the new navigational mesh with improved AI and pathfinding tools introduced in the Unity 2018 update. You’ll empower your AI with decision-making functions by programming simple board games, such as tic-tac-toe and checkers, and orchestrate agent coordination to get your AIs working together as one.
By the end of this book, you’ll have gained expertise in AI programming and developed creative and interactive games.
1: BEHAVIORS – INTELLIGENT MOVEMENT
3: DECISION MAKING
4: THE NEW NAVMESH API
5: COORDINATION AND TACTICS
6: AGENT AWARENESS
7: BOARD GAMES AND APPLIED SEARCH AI
8: LEARNING TECHNIQUES
9: PROCEDURAL CONTENT GENERATION
What You Will Learn
Create intelligent pathfinding agents with popular AI techniques such as A* and A*mbush
Implement different algorithms for adding coordination between agents and tactical algorithms for different purposes
Simulate senses so agents can make better decisions, taking account of the environment
Explore different algorithms for creating decision-making agents that go beyond simple behaviors and movement
Create coordination between agents and orchestrate tactics when dealing with a graph or terrain
Implement waypoints by making a manual selector
Jorge Palacios is a software and game developer with a BS in computer science and eight years of professional experience. He’s been developing games for the last five years in different roles, from tool developer to lead programmer. Mainly focused on artificial intelligence and gameplay programming, he is currently working with Unity and HTML5. He’s also a game-programming instructor, speaker, and game-jam organizer.