Creative Machines
summary
Claims and concrete systems guide the decision: machines excel at exploration and combination but lack a reliable value function, so experiments focus on tools and results. Harold Cohen’s Aaron the painter produces gallery pieces, neural nets with injected chaos produce a quirky death dance, EEG-driven generation yields reactive sound loops, Markov chains and recombinants trained on Bach and crawled MIDI approach musicality, and David Cope’s Emily Howell uses learning and inference to improve canons—humans still select or fix the outputs.
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chapters (6)
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