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Learning game AI programming with Lua

You're reading from   Learning game AI programming with Lua Leverage the power of Lua programming to create game AI that focuses on motion, animation, and tactics

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Product type Paperback
Published in Nov 2014
Publisher Packt
ISBN-13 9781783281336
Length 352 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (11) Chapters Close

Preface 1. Getting Started with AI Sandbox FREE CHAPTER 2. Creating and Moving Agents 3. Character Animations 4. Mind Body Control 5. Navigation 6. Decision Making 7. Knowledge Representation 8. Perception 9. Tactics Index

Agent actions


Ultimately, any decision logic or structure we create for our agents comes down to deciding what action our agent should perform. Actions themselves are isolated structures that will be constructed from three distinct states:

  • Uninitialized

  • Running

  • Terminated

The typical lifespan of an action begins in uninitialized state and will then become initialized through a onetime initialization, and then, it is considered to be running. After an action completes the running phase, it moves to a terminated state where cleanup is performed. Once the cleanup of an action has been completed, actions are once again set to uninitialized until they wait to be reactivated.

We'll start defining an action by declaring the three different states in which actions can be as well as a type specifier, so our data structures will know that a specific Lua table should be treated as an action.

Note

Remember, even though we use Lua in an object-oriented manner, Lua itself merely creates each instance of an object...

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