Abstract
Categorical shape theory adopts a minimalist approach to pattern recognition. It assumes given a collection of archetypes and a collection of ‘objects of interest’, each collection being provided with an internal means of comparison between objects. The two collections are externally linked so as to allow comparison of objects of interest with archetypes. The structure of archetypes and of objects of interest is only observable via comparisons within these two categories. The categorical form of infinitary language is reviewed, including the ideas of equational theories. It is shown that categorical shape theory is the syntax of the abstract recognition process.
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Porter, T. Categorical shape theory as a formal language for pattern recognition?. Ann Math Artif Intell 10, 25–54 (1994). https://doi.org/10.1007/BF01530943
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DOI: https://doi.org/10.1007/BF01530943