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{{Notability|date=November 2020}}
In [[knowledge-based systems]], agents choose actions based on the [[principle of rationality]] to move closer to a desired goal. The agent is able to make decisions based on knowledge it has about the world (see [[knowledge level]]). But for the agent to actually change its state, it must use whatever means it has available. This level of description for the agent's behavior is the '''symbol level'''. The term was coined by [[Allen Newell]] in 1982.<ref>{{cite journal|last=Newell|first=A.|year=1982|title=The knowledge level|journal=Artificial Intelligence|volume=18|issue=1|pages=87–127|doi=10.1016/0004-3702(82)90012-1 |s2cid=40702643 }}</ref><ref>{{cite book|last1=Levesque|first1=H. J.|last2=Lakemeyer|first2=G.|year=2001|title=The logic of knowledge bases|publisher=MIT Press}}</ref>

For example, in a computer program, the knowledge level consists of the information contained in its data structures that it uses to perform certain actions. The symbol level consists of the program's algorithms, the data structures themselves, and so on.

==See also==
*[[Knowledge level modeling]]

==References==
{{reflist}}

{{DEFAULTSORT:Symbol Level}}
[[Category:Artificial intelligence]]

Symbol level - Revision history

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