Art & Science as By-Products of Search for Novel Patterns, or Data Compressible in Unknown Yet Learnable Ways
نویسنده
چکیده
I argue that science, art, music, comedy are just by-products of our intrinsic desire to create / discover more novel patterns, that is, data compressible in hitherto unknown ways. It is possible to rigorously formalize this concept and implement it on learning machines, thus building artificial robotic scientists and artists equipped with intrinsically motivated curiosity and creativity. I summarize our work on this topic since 1990; for concrete implementation details (1990-2009) see [17, 16, 30,
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تاریخ انتشار 2009