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(up to date versio is on discord)

"Recognition By Compression"

Components:

-INPUT DATA - e. g. an image to compress
-It is a SEARCH for the best COMPRESSOR of the INPUT DATA
-a CURRENT BEST COMPRESSED VERSION of the input data [possibly updated when improvements are made]
-a COMPRESSED VERSION of data x is a PIECE OF CODE computing x
-a COMPRESSED LOSSY VERSION of data x is a PIECE OF CODE computing y
     with diff(x, y) small
-SEARCH STRATEGIES (generators of ever improving scored compressed versions for some input data)
-Compression SCORERS (let's say simply by the size of the compressed version; this is for losslesss compressors)
   (LOSSY compressions are difficult to score, TBD)

Later:
-SEMANTIC LINKERS that make sense of a compressed version of an image 


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