Text Compression as a Test for Artificial Intelligenc

Matthew V. Mahoney, Florida Institute of Technology

It is shown that optimal text compression is a harder problem than artificial intelligence as defined by Turing’s (1950) imitation game; thus compression ratio on a standard benchmark corpus could be used as an objective and quantitative alternative test for AI.


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