| Publisher | Jacky Chen |
|---|---|
| File size | 235.30kB |
| Number of files | 17 |
| Latest version | 1.0.1 |
| Latest release date | 2017-10-13 06:29:25 |
| First release date | 2016-05-16 03:38:26 |
| Supported Unity versions | 2018.4.2 or higher |
This package contains an implementation of Discrete Bayesian Network in C#. It only accept nodes with a discrete distribution.
Bayesian Network is a way to represent probability tables and the relationships between them. It is usually used by AIs when uncertainties are involved. For example, an AI can use a Bayesian Network to calculate the probability of winning based on the evidence it collects.
The example scene is created in Unity 5.0. As a result, it is not backward compatible with older versions of Unity. However, I have confirmed that the code successfully compiled in Unity 4.6
Bayesian Network is a way to represent probability tables and the relationships between them. It is usually used by AIs when uncertainties are involved. For example, an AI can use a Bayesian Network to calculate the probability of winning based on the evidence it collects.
The example scene is created in Unity 5.0. As a result, it is not backward compatible with older versions of Unity. However, I have confirmed that the code successfully compiled in Unity 4.6
