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Learning Game AI Programming with Lua

More Information
Learn
  • Create an animation state machine to drive AI animations within Lua
  • Build and find paths on navigation meshes
  • Write and debug Lua scripts within a full-scale Lua IDE
  • Develop decision logic with behavior trees, state machines, and decision trees to build modular, reusable AI
  • Manage short- and long-term knowledge representation with blackboard data structures
  • Add sensory perception to give AIs the ability to see and hear
  • Develop high-level tactics with multiple AIs based on influence maps
About

Game AI can be easily broken up into a number of components such as decision making, animation handling, and tactics, but the balance and interaction between each system strikes a balance between good AI and bad AI.

Beginning with an introduction to the AI sandbox, each new aspect of game AI is introduced, implemented, and then expanded upon. Going forward, you will learn to utilize open source libraries such as Ogre3D, Bullet Physics, OpenSteer, Recast, Detour, and Lua to create an AI sandbox with an entire codebase available to expand and step through.

This is done through a step-by-step approach, from learning to move basic shapes to fully animating your soldiers. By the end of the book, your AI will be able to navigate, pathfind, manage animation playback, communicate, and perceive their environment.

Features
  • Focus on programming game AI rather than handling low-level resource management
  • Bind Lua to build a script-based game AI using a C++ backend that provides hooks for graphics, physics, and resource handling
  • A tutorial-based approach where AI functionalities are layered piece by piece to create fully functional AI
Page Count 352
Course Length 10 hours 33 minutes
ISBN 9781783281336
Date Of Publication 28 Nov 2014

Authors

David Young

David Young is a professional software engineer who works within the game industry. He started his career at NASA's Deep Space Network and later moved to NASA's Jet Propulsion Laboratory for the Curiosity rover mission. After leaving NASA, he worked on the platform that powers Riot Game's League of Legends. David is pursuing a PhD at the University of Southern California, focusing on graphics research in the field of real-time hair rendering and simulation.