descision trees (#6788)

src/data/roadmaps/game-developer/content/decision-tree-learning@sz1047M8_kScjth84yPwU.md

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 # Decision Tree Learning
 
 `Decision Tree Learning` is an important concept in game development, particularly in the development of artificial intelligence for game characters. It is a kind of machine learning method that is based on using decision tree models to predict or classify information. A decision tree is a flowchart-like model, where each internal node denotes a test on an attribute, each branch represents an outcome of that test, and each leaf node holds a class label (decision made after testing all attributes). By applying decision tree learning models, computer-controlled characters can make decisions based on different conditions or states. They play a key role in creating complex and interactive gameplay experiences, by enabling game characters to adapt to the player's actions and the ever-changing game environment.
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+Visit the following resources to learn more:
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+- [@video@Decision trees - A friendly introduction](https://www.youtube.com/watch?v=HkyWAhr9v8g)