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Unity 5.x Game AI Programming Cookbook

You're reading from   Unity 5.x Game AI Programming Cookbook Build and customize a wide range of powerful Unity AI systems with over 70 hands-on recipes and techniques

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Product type Paperback
Published in Mar 2016
Publisher Packt
ISBN-13 9781783553570
Length 278 pages
Edition 1st Edition
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 (15) Chapters Close

Unity 5.x Game AI Programming Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Behaviors – Intelligent Movement FREE CHAPTER 2. Navigation 3. Decision Making 4. Coordination and Tactics 5. Agent Awareness 6. Board Games AI 7. Learning Techniques 8. Miscellaneous Index

Improving A* for memory: IDA*


IDA* is a variant of an algorithm called Iterative Deepening Depth-First Search. Its memory usage is lower than A* because it doesn't make use of data structures to store the looked-up and explored nodes.

Getting ready

For this recipe, it is important to have some understanding of how recursion works.

How to do it…

This is a long recipe that can be seen as an extensive two-step process: creating the main function, and creating an internal recursive one. Please take into consideration the comments in the code to understand the indentation and code flow more effectively:

  1. Let's start by defining the main function called GetPathIDAstar:

    public List<Vertex> GetPathIDAstar(GameObject srcObj, GameObject dstObj, Heuristic h = null)
    {
        if (srcObj == null || dstObj == null)
            return new List<Vertex>();
        if (ReferenceEquals(h, null))
            h = EuclidDist;
        // next steps;
    }
  2. Declare and compute the variables to use along with the algorithm:

    List<Vertex...
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