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Unity Artificial Intelligence Programming

You're reading from   Unity Artificial Intelligence Programming Add powerful, believable, and fun AI entities in your game with the power of Unity 2018!

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781789533910
Length 246 pages
Edition 4th Edition
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Authors (3):
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Dr. Davide Aversa Dr. Davide Aversa
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Dr. Davide Aversa
Clifford Peters Clifford Peters
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Clifford Peters
Aung Sithu Kyaw Aung Sithu Kyaw
Author Profile Icon Aung Sithu Kyaw
Aung Sithu Kyaw
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Toc

Table of Contents (13) Chapters Close

Preface 1. Introduction to AI 2. Finite State Machines FREE CHAPTER 3. Randomness and Probability 4. Implementing Sensors 5. Flocking 6. Path-Following and Steering Behaviors 7. A* Pathfinding 8. Navigation Mesh 9. Behavior Trees 10. Machine Learning in Unity 11. Putting It All Together 12. Other Books You May Enjoy

Definitions of probability

There are many ways to define probability, based on a given situation and the type of game or application you are building. The most commonly used definition of probability is to consider the probability of an event as the frequency with which the event occurs when we repeat the observation an infinite amount of times. In other words, if we throw a die 100 times, we expect to see a six, on average, 1/6th of the times, and we should get closer and closer to 1/6th with 1,000/10,000/one million throws.

We can write the probability for an event A to occur as P(A). To calculate P(A) we need to know all the possible outcomes (N) for the observation and the total number of times in which the desired event occurs (n).

So, the probability of an event A can be calculated as the following:

If P(A) is the probability of the event A to successfully occur, then the...

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