How do decision trees work in C++ game AI?

How do decision trees work in C++ game AI?

Decision trees are a way to model decisions in a game. They use a tree structure where each node represents a decision point.

Can you give me an example of a decision tree for a simple game?

Sure! Imagine a game where a character decides to attack or defend. The root node could be 'Is the enemy close?' If yes, it branches to 'Attack' or 'Defend'.

What are the advantages of using decision trees?

They are easy to understand and implement, provide clear decision paths, and can handle both categorical and numerical data.

Are there any limitations to decision trees?

Yes, they can become overly complex and prone to overfitting if not managed properly. Also, they may not perform well with very large datasets.