Computational Inference of Aesthetics
Since about 2005, computer scientists have attempted to develop automated methods to infer aesthetic quality of images. Typically, these approaches follow a machine learning approach, where large numbers of manually rated photographs are used to "teach" a computer about what visual properties are of relevance to aesthetic quality. The Acquine engine, developed at Penn State University, rates natural photographs uploaded by users.
Notable in this area is Michael Leyton, professor of psychology at Rutgers University. Leyton is the president of the International Society for Mathematical and Computational Aesthetics and the International Society for Group Theory in Cognitive Science and has developed a generative theory of shape.
There have also been relatively successful attempts with regard to chess and music.
Read more about this topic: Aesthetics
Famous quotes containing the words inference and/or aesthetics:
“Rules and particular inferences alike are justified by being brought into agreement with each other. A rule is amended if it yields an inference we are unwilling to accept; an inference is rejected if it violates a rule we are unwilling to amend. The process of justification is the delicate one of making mutual adjustments between rules and accepted inferences; and in the agreement achieved lies the only justification needed for either.”
—Nelson Goodman (b. 1906)
“Nothing is beautiful, except man alone: all aesthetics rests upon this naïveté, which is its first truth. Let us immediately add the second: nothing is ugly except the degenerating man—and with this the realm of aesthetic judgment is circumscribed.”
—Friedrich Nietzsche (1844–1900)