In this chapter, we will cover the following topics:
Creating reusable actions for agent behaviors
Building conditional evaluators for decision making
Creating a decisions tree structure that builds autonomous agents
Creating a finite state machine that handles state-based agents
Creating behavior trees for reactive agents
Now that we have agents that can animate and maneuver through their environments, we'll add high-level decision making to our agents. These data structures will finally give our agents autonomy in how they interact with the world as well as other agents.