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 think it has good theming natively still, and in any case they let you get updates for longer and stuff.
gollark: There's a guide and stuff, but I'm not sure how hard it would be to actually do.
gollark: I have an old also-Samsung Android tablet from 2016 or so (got it for free) which I might try and port postmarketOS too, if it's not too hard.
gollark: Oh yes, generally.
gollark: It's irritating that we ended up with such an awful software ecosystem on phones. You can typically get updates for *ages* on a desktop system, because they don't run stupid monolithic OSes with tons of hardware-specific garbage.
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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