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'''Frames''' are an [[artificial intelligence]] [[data structure]] used to divide [[knowledge]] into substructures by representing "[[stereotype]]d situations". They were proposed by [[Marvin Minsky]] in his 1974 article "A Framework for Representing Knowledge". Frames are the primary data structure used in artificial intelligence frame languages; they are stored as [[Ontology (information science)|ontologies]] of [[Set theory|sets]].
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 representations. According to [[Stuart J. Russell|Russell]] and [[Peter Norvig|Norvig]]'s ''[[Artificial Intelligence: A Modern Approach]]'', structural representations assemble "[...]facts about particular objects and event types and arrange the types into a large [[taxonomy|taxonomic]] hierarchy analogous to a [[biological taxonomy]]".
== Frame structure ==
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===Comparison of frames and objects===
Frame languages have a significant overlap with [[object-oriented]] languages. The terminologies and goals of the two communities were different but as they moved from the academic world and labs to the commercial world developers tended to not care about philosophical issues and focused primarily on specific capabilities, taking the best from either camp regardless of where the idea began. What both paradigms have in common is a desire to reduce the distance between concepts in the real world and their implementation in software. As such both [[Paradigm|paradigms]] arrived at the idea of representing the primary software objects in [[Taxonomy|taxonomies]] starting with very general types and progressing to more specific types.
The following table illustrates the correlation between standard terminology from the object-oriented and frame language communities:
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