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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
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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 2. Navigation FREE CHAPTER 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

Predicting actions with an N-Gram predictor

Predicting actions is a great way to give players a challenge by going from random selection to selection based on past actions. One way to implement machine learning is by using probabilities to predict what the player will do next, and that's what an N-Gram predictor does.

To predict the player's next choice, N-Gram predictors hold a record of the probabilities of making particular decisions (which are usually moves), given all the combinations of the choices for the previous n moves.

Getting ready...

This is a recipe that makes use of general types. It is recommended that you have at least a basic understanding of how they work, because it's important that we use...

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