Editing Behavior-based robotics (section)

== Principles ==
Behavior-based robotics sets itself apart from traditional artificial intelligence by using biological systems as a model. Classic [[artificial intelligence]] typically uses a set of steps to solve problems, it follows a path based on internal representations of events compared to the behavior-based approach. Rather than use preset calculations to tackle a situation, behavior-based robotics relies on adaptability. This advancement has allowed behavior-based robotics to become commonplace in researching and data gathering.<ref name=":0">{{Cite web|url=http://www.am.chalmers.se/~wolff/AA/Chapter3.pdf|title=Behavior-based robotics}}</ref>

Most behavior-based systems are also [[reactive planning|reactive]], which means they need no programming of what a chair looks like, or what kind of surface the robot is moving on. Instead, all the information is gleaned from the input of the robot's sensors. The robot uses that information to gradually correct its actions according to the changes in immediate environment.

Behavior-based robots (BBR) usually show more biological-appearing actions than their [[computing]]-intensive counterparts, which are very deliberate in their actions. A BBR often makes mistakes, repeats actions, and appears confused, but can also show the anthropomorphic quality of tenacity. Comparisons between BBRs and [[insect]]s are frequent because of these actions. BBRs are sometimes considered examples of [[Weak AI|weak artificial intelligence]], although some have claimed they are models of all intelligence.<ref>{{cite journal |doi=10.1016/0004-3702(91)90053-M |citeseerx=10.1.1.308.6537 |title=Intelligence without representation |journal=Artificial Intelligence |year=1991 |pages=139–159 |last1=Brooks |first1=Rodney A. |volume=47 |issue=1–3 |s2cid=207507849 }}</ref>