Compression-Driven Progress in Science
نویسنده
چکیده
The construction of an artificial scientist, a machine that discovers and describes the general rules governing a variety of complex environments, can be considered an important challenge for artificial general intelligence. Recently, a computational framework for scientific investigation has been postulated in the theory of compression-driven progress. Here, I propose an implementation of an artificial scientist based on the compression principle, and explore the possibilities and challenges for its application in scientific research.
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