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Winston, P. H. (1992). Artificial Intelligence. Third Addition. Addison-Wesley.

  ALTauthor = 	 {Patrick Henry Winston},
  ALTeditor = 	 {},
  title = 	 {Artificial Intelligence},
  publisher = 	 {Addison-Wesley},
  year = 	 {1992},
  OPTkey = 	 {},
  OPTvolume = 	 {},
  OPTnumber = 	 {},
  OPTseries = 	 {},
  OPTaddress = 	 {},
  OPTedition = 	 {Third},
  OPTmonth = 	 {},
  OPTnote = 	 {},
  OPTannote = 	 {}

Author of the summary: Jim Davies, 2002, jim@jimdavies.org

Cite this paper for:

I'm writing this summary now to get the information on Evan's ANALOGY program.

ANALOGY does traditional intelligence test analogy problems, limited to the image domain. e.g. A:B::C:?[25]

It does this by describing how to turn A into B, then how C turns into all the choices. It matches the A to B transformation semantic net to the nets of the choices. The best match is determines ANALOGY's choice for the answer.

The system has an ontology of relations between objects in a figure:

Transformations describe how one figure could be changed into the next: It's important to note, though, that relations can change, though a change in a relation is not considered a transformation. Geometric objects include, but are not limited to: [26] The book took this information from:

Evans, T. G. (1968). A heuristic program to solve geometric analogy problems. In Semantic Information Processing edited by Minsky, M. MIT Press, Cambridge, MA.

Summary author's notes:

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