What you will learn
Use techniques such as A*and A*mbush to empower your agents with path finding capabilities.
Create a representation of the world and make agents navigate it
Construct decision-making systems to make the agents take different actions
Make different agents coordinate actions and create the illusion of technical behavior
Simulate senses and apply them in an awareness system
Design and implement AI in board games such as Tic-Tac-Toe and Checkers
Implement efficient prediction mechanism in your agents with algorithms such as N-Gram predictor and naive Bayes classifier
Understand and analyze how the influence maps work.
About the Author
Jorge Palacios is a software developer with seven years of professional experience. He has committed the last four years to game development working in various positions; from tool developer, to lead programmer. His main focus is AI and gameplay programming, and currently he works with Unity and HTML5. He's also a game development instructor, speaker, and game jam organizer.
You can find more about him on http://jorge.palacios.co
Table of Contents
Chapter 1: Behaviors – Intelligent Movement
Chapter 2: Navigation
Chapter 3: Decision Making
Chapter 4: Coordination and Tactics
Chapter 5: Agent Awareness
Chapter 6.: Board Games AI
Chapter 7: Learning Techniques
Chapter 8: Miscellaneous
