Behavior selection algorithm

In artificial intelligence (AI), a behavior selection algorithm, or action selection algorithm, is an algorithm that selects appropriate behaviors or actions for one or more intelligent agents. In video game AI, it selects behaviors or actions for one or more non-player characters (NPCs). Common behavior selection algorithms include:

Finite-state machines (FSMs)
- Hierarchical finite-state machines (HSMs)
Decision trees
Behavior trees
Hierarchical task networks (HTNs)
Hierarchical control systems (HCSs)
Utility systems
Dialogue tree or conversation tree — for selecting what to say

Related concepts

In application programming, run-time selection of the behavior of a specific method is referred to as the strategy design pattern.

See also

AI alignment
Artificial intelligence detection software
Cognitive model — all cognitive models exhibit behavior in terms of making decisions (taking action), making errors, and with various reaction times.
Behavioral modeling, in systems theory
Behavioral modeling in hydrology
Behavioral modeling in computer-aided design
Behavioral modeling language
Case-based reasoning, solving new problems based on solutions of past problems
Model-based reasoning
Synthetic intelligence
Weak AI

References

↑ Behavior Selection Algorithms: An Overview
↑ "The GoF Design Patterns Memory - Learning Object-Oriented Design & Programming". w3sDesign. Retrieved 2026-10-26.
↑ "Strategy Design Pattern". GeeksforGeeks. 2016-04-29. Retrieved 2026-10-26.
↑ Krishna, Ashutosh (2023-05-04). "A Beginner's Guide to the Strategy Design Pattern". freeCodeCamp.org. Retrieved 2026-10-26.

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