Game AI

[void4]

Besides the common Finite State Machines and Virtual Machines that drive many game agents, there are systems that fare much better in dynamic environments and display interesting emergent behavior:

GOAP - Goal-Oriented Action Planning:

Using pathfinding to find short paths in world-action-goal networks: http://alumni.media.mit.edu/~jorkin/goap.html http://alumni.media.mit.edu/~jorkin/gdc2006_orkin_jeff_fear.pdf

HTN - Hierarchical task networks: https://en.wikipedia.org/wiki/Hierarchical_task_network https://en.wikipedia.org/wiki/Hierarchical_control_system

More architectures: https://en.wikipedia.org/wiki/Subsumption_architecture

https://www.youtube.com/c/AIGamesSeries/videos