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Unity 2018 Artificial Intelligence Cookbook

You're reading from   Unity 2018 Artificial Intelligence Cookbook Over 90 recipes to build and customize AI entities for your games with Unity

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Product type Paperback
Published in Aug 2018
Publisher
ISBN-13 9781788626170
Length 334 pages
Edition 2nd Edition
Languages
Tools
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Authors (2):
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Jorge Palacios Jorge Palacios
Author Profile Icon Jorge Palacios
Jorge Palacios
Jorge Elieser P Garrido Jorge Elieser P Garrido
Author Profile Icon Jorge Elieser P Garrido
Jorge Elieser P Garrido
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Toc

Table of Contents (12) Chapters Close

Preface 1. Behaviors - Intelligent Movement FREE CHAPTER 2. Navigation 3. Decision Making 4. The New NavMesh API 5. Coordination and Tactics 6. Agent Awareness 7. Board Games and Applied Search AI 8. Learning Techniques 9. Procedural Content Generation 10. Miscellaneous 11. Other Books You May Enjoy

Improving the predictor – Hierarchical N-Gram

The N-Gram predictor can be improved by having a handler with several other predictors ranging from 1 to n, and obtaining the best possible action after comparing the best guess from each one of them.

Getting ready...

We need to make some adjustments prior to implementing the hierarchical N-Gram predictor.

Add the following member function to the NGramPredictor class:

public int GetActionsNum(ref T[] actions) 
{ 
    string key = ArrToStrKey(ref actions); 
    if (!data.ContainsKey(key)) 
        return 0; 
    return data[key].total; 
} 

How to do it...

...
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