Behavior selection algorithm
In artificial intelligence, a behavior selection algorithm,[1] or action selection algorithm, is an algorithm that selects appropriate behaviors or actions for one or more intelligent agents. In game artificial intelligence, it selects behaviors or actions for one or more non-player characters. Common behavior selection algorithms include:
- Finite-state machines
- Hierarchical finite-state machines
- Decision trees
- Behavior trees
- Hierarchical task networks
- Hierarchical control systems
- Utility systems
- Dialogue 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.
gollark: I don't see an issue with betting. It gives you incentives to make better predictions.
gollark: Having some specific mental thing preventing you from wearing a mask is probably very rare compared to, say, just having... severe asthma?
gollark: I think you missed the context.
gollark: I don't know, governments seem to vaguely manage for other stuff mostly.
gollark: Well, we have "computers" now which can "store" information.
See also
- 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
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