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: Nginx is the thing doing the HTTP/2ing and is configured for it.
gollark: No, on my laptop.
gollark: I use an ASP/CGI/PHP bridge for purposes.
gollark: hasdiugashkfjaghsfj.php
gollark: I WILL investigate further.
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
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.