Since one of the "near" future steps for the ice puck game I had to see how to implement the NPC AI, and I want to leave a few documentation/guide videos. All with explanations and examples, plus a description of mine here so you can remember at a glance. [Remember you can use any of them if it fits you, I'm only giving hints]
State machine
https://youtu.be/RzUkBT7QwrU?si=OirslGHuHIs2kIDk
These are your usual platformer ones, mario like, where the enemy has a pattern that repeats over and over, no matter what.
Behaviour tree
https://youtu.be/YHUQY2Kea9U?si=oxl2viKZpWvxe0mG
These are more seen in fighting and shooter games, I believe racing games could go here as well. The enemy has a tree and different paths with minimum weights, to select the most efficient to their task. Your enemy doesn't take into account your life or score, it wants to finish you.
GOAP
https://youtu.be/LhnlNKWh7oc?si=ct5vAyN4yCuv3nf_
The Goal Oriented Action Planning (GOAP),
which is the one I'm probably going to use. This one uses the priorities given for their goals, hence why for a sport game could be pretty useful. For example, the enemy takes into account if it has more or less goals than you, to decide if defence the net or attack.
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