- Unity 5.x Game AI Programming Cookbook
- Table of Contents
- Unity 5.x Game AI Programming Cookbook
- Credits
- About the Author
- About the Reviewers
- www.PacktPub.com
- Preface
- 1. Behaviors – Intelligent Movement
- Introduction
- Creating the behavior template
- Pursuing and evading
- Arriving and leaving
- Facing objects
- Wandering around
- Following a path
- Avoiding agents
- Avoiding walls
- Blending behaviors by weight
- Blending behaviors by priority
- Combining behaviors using a steering pipeline
- Shooting a projectile
- Predicting a projectile's landing spot
- Targeting a projectile
- Creating a jump system
- 2. Navigation
- Introduction
- Representing the world with grids
- Representing the world with Dirichlet domains
- Representing the world with points of visibility
- Representing the world with a self-made navigation mesh
- Finding your way out of a maze with DFS
- Finding the shortest path in a grid with BFS
- Finding the shortest path with Dijkstra
- Finding the best-promising path with A*
- Improving A* for memory: IDA*
- Planning navigation in several frames: time-sliced search
- Smoothing a path
- 3. Decision Making
- Introduction
- Choosing through a decision tree
- Working a finite-state machine
- Improving FSMs: hierarchical finite-state machines
- Combining FSMs and decision trees
- Implementing behavior trees
- Working with fuzzy logic
- Representing states with numerical values: Markov system
- Making decisions with goal-oriented behaviors
- 4. Coordination and Tactics
- Introduction
- Handling formations
- Extending A* for coordination: A*mbush
- Creating good waypoints
- Analyzing waypoints by height
- Analyzing waypoints by cover and visibility
- Exemplifying waypoints for decision making
- Influence maps
- Improving influence with map flooding
- Improving influence with convolution filters
- Building a fighting circle
- 5. Agent Awareness
- Introduction
- The seeing function using a collider-based system
- The hearing function using a collider-based system
- The smelling function using a collider-based system
- The seeing function using a graph-based system
- The hearing function using a graph-based system
- The smelling function using a graph-based system
- Creating awareness in a stealth game
- 6. Board Games AI
- 7. Learning Techniques
- 8. Miscellaneous
- Index
In this chapter, you will learn different techniques for:
- Handling random numbers better
- Building an air-hockey rival
- Devising a table-football competitor
- Creating a tennis rival
- Creating mazes procedurally
- Implementing a self-driving car
- Managing race difficulty using a rubber-banding system
In this final chapter, we will introduce new techniques, and use algorithms that we have learned in the previous chapters in order to create new behaviors that don't quite fix in a definite category. This is a chapter to have fun and get another glimpse of how to mix different techniques in order to achieve different goals.
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