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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

Creating evaluators


Creating evaluators relies on simple functions that perform isolated operations on the agent's userData table. Typically, most evaluators will only perform calculations based on userData instead of modifying the data itself, although there is no limitation on doing this. As the same evaluator might appear within a decision structure, care must be taken to create consistent decision choices.

Tip

Evaluators that modify userData can easily become a source of bugs; try to avoid this if at all possible. Actions should modify the agent's state, when evaluators begin to modify the agent's state as a decision structure is processed; it becomes very difficult to tell how and why any eventual action was chosen, as the order of operations will affect the outcome.

Constant evaluators

First, we'll need to create the two most basic evaluators; one that always returns true, and another that always returns false. These evaluators come in handy as a means of enabling or disabling actions...

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