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Unreal Engine 4 AI programming essentials : create responsive and intelligent game AI using Blueprints in Unreal Engine 4 /
Annotation
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham, UK :
Packt Publishing,
2016.
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| Colección: | Community experience distilled.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- Cover; Copyright; Credits; About the Authors; About the Reviewer; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Introduction to Game AI; Game Artificial Intelligence; How AI affects the gaming experience; Techniques and practices of game AI; Navigation; Achieving realistic movement with Steering; Creating a character with randomness and probability; Creating complex decision making with Behavior Tree; Root; Decorators; Composites; Services; Tasks; Blackboard; Sensory systems; Machine learning; Tracing; Influence Mapping; Unreal Engine 4 tools; Summary; Chapter 2: Creating Basic AI
- GoalSetting up the project; Environment; Prerequisites; Using our new AIController class; Assigning the AIController class; Placing the pawn; Sending the instructions; Small tips on MoveToLocation; Reviewing the current progress; Adding the challenge; Traces; Reviewing the current progress; The Enemy logic; Adding the Enemy AI; Summary; Chapter 3: Adding Randomness and Probability; Introducing probability; Probabilistic distribution; Non-uniform distribution; RandomStream in Unreal Engine 4; The plan; Adding Wander; Setting up the project; Creating probability
- Non-uniform distribution with Random StreamCreating transitions; Fleeing and attacking; Back to the action; The results!; Summary; Chapter 4: Introducing Movement; Overview; Path Finding; The A* algorithm; Navigation Mesh; RecastNavMesh; The movement component; The AIController; Let's start!; Waypoints; Navigation; Navigation Modifiers; Back in the editor; The NavArea class; The navigation cost; Summary; Chapter 5: Giving AI Choices; Behavior Tree in the AIController; Creating Behavior Tree; Blackboard; Designing Behavior Tree; The Behavior Tree service; State transitions
- Blackboard Compare DecoratorEnvironment Query System; Summary; Chapter 6: How does Our AI Sense?; Overview; AI sensing; 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; Follow or lead; Steering behavior: Flocking; Flocking agents; Controlling behavior through UMG; A simple UI; Summary; Chapter 8: Creating Patrol, Chase, and Attack AI; Creating a Blackboard; Mid-range attack; Controllers; Waypoints
- BT Composites, Task, Decorator, and ServiceCreating the logic; Summary; Chapter 9: What Have We Learned?; Creating basic AI; The pros and cons of using controls; Adding randomness and probability; The pros and cons of using randomness; The pros and cons of using probability; Introducing movement; Giving our AI choice; The pros and cons of using EQS; The pros and cons of using Blueprint; How does our AI sense?; More advanced movement; Creating patrol, chase, and attack AI; The pros and cons of using Behavior Tree; The pros and cons of using blueprint for AI; Summary; Index