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Unreal Engine 4 AI Programming Essentials
Peter L. Newton Jie Feng
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Unreal Engine 4 AI Programming EssentialsPeter L. Newton Jie Feng
This book is for programmers and artists who want to expand their knowledge of Game AI in relation to Unreal Engine 4. You are recommended to have some experience of exploring Unreal Engine 4 prior to this book because we jump straight into Game AI.
This book is for programmers and artists who want to expand their knowledge of Game AI in relation to Unreal Engine 4. You are recommended to have some experience of exploring Unreal Engine 4 prior to this book because we jump straight into Game AI.
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This book is for programmers and artists who want to expand their knowledge of Game AI in relation to Unreal Engine 4. You are recommended to have some experience of exploring Unreal Engine 4 prior to this book because we jump straight into Game AI.
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出版社Packt Publishing
出版时间2016年3月
字数175,755
分类计算机-计算机综合
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Unreal Engine 4 AI Programming Essentials
Peter L. Newton Jie Feng
- 扉页
- 版权信息+书签
- Credits
- About the Authors
- About the Reviewer
- www.PacktPub.com
- Preface
- Chapter 1. Introduction to Game AI
- Game Artificial Intelligence
- How AI affects the gaming experience
- Techniques and practices of game AI
- Unreal Engine 4 tools
- Summary
- Chapter 2. Creating Basic AI
- Goal
- Setting up the project
- Using our new AIController class
- Reviewing the current progress
- Adding the challenge
- Traces
- The Enemy logic
- Adding the Enemy AI
- Summary
- Chapter 3. Adding Randomness and Probability
- Introducing probability
- RandomStream in Unreal Engine 4
- The plan
- Adding Wander
- Fleeing and attacking
- Summary
- Chapter 4. Introducing Movement
- Overview
- Path Finding
- The A* algorithm
- Navigation Mesh
- The movement component
- Let s start!
- Waypoints
- Navigation
- Summary
- Chapter 5. Giving AI Choices
- Behavior Tree in AIController
- Creating Behavior Tree
- Blackboard
- Designing Behavior Tree
- Summary
- Chapter 6. How Does Our AI Sense?
- Overview
- AI Sense
- AI Perception components
- State machines
- Pawn detection
- State transition
- Resetting the state
- Simulating and playing
- Summary
- Chapter 7. More Advanced Movement
- Setting up the agents
- Viewing the agent
- Following the agent
- Steering behavior: Flocking
- Controlling behavior through UMG
- Summary
- Chapter 8. Creating Patrol, Chase, and Attack AI
- Creating a Blackboard
- Mid-range attack
- Controllers
- Waypoints
- BT Composites, Task, Decorator, and Service
- Creating the logic
- Summary
- Chapter 9. What Have We Learned?
- Creating basic AI
- Adding randomness and probability
- Introducing movement
- Giving our AI choice
- How does our AI sense?
- More advanced movement
- Creating patrol, chase, and attack AI
- Summary
- Index
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