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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

Influence map layers

So far, we've talked about different layers of the influence map without showing you how they can be useful. Currently, the red influences used on the influence map are negative values, while the blue influences are positive values. When combined together on a single influence map layer, the boundary where blue meets red becomes the neutral influence of 0. While this can be very useful, we might want to see the total influence of either the negative influences or positive influences.

Influence map layers

Combined negative and positive influences

Using a separate layer on the influence map, we can see the full negative influence unaffected by positive influences.

Influence map layers

Only negative influences spread to their maximum

We can also do this for the positive influences and use an additional layer that maps only positive values.

Influence map layers

Only positive influences spread to their maximum

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