Frame (artificial intelligence): Difference between revisions

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Frames are also an extensive part of [[knowledge representation and reasoning]] schemes. They were originally derived from [[semantic network]]s and are therefore part of structure-based [[Knowledge representation and reasoning|knowledge representations]].
 
According to [[Stuart J. Russell|Russell]] and [[Peter Norvig|Norvig]]'s ''[[Artificial Intelligence: A Modern Approach]]'', structural representations assemble "[...]facts about particular objectsobject and event types and [arrange] the types into a large [[taxonomy|taxonomic]] hierarchy analogous to a [[biological taxonomy]]".
 
== Frame structure ==
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The frame contains information on how to use the frame, what to expect next, and what to do when these expectations are not met.
 
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== Features and advantages ==
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A frame's terminals are already filled with default values, which is based on how the [[Mind|human mind]] works.
 
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== Example ==
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Worth noticing here is the easy analogical reasoning (comparison) that can be done between a boy and a monkey just by having similarly named slots.