Роджер Шепард: Жизнь и научное наследие.

American psychologist (1929–2020)

Roger Newland Shepard (January 30, 1929 – May 30, 2022) was an American cognitive scientist and author of the "universal law of generalization" (1987). He was considered a father of research on spatial relations. He studied mental rotation, and was an inventor of non metric multidimensional scaling, a method for representing certain kinds of statistical data in a graphical form that can be comprehended by humans. The optical illusion called Shepard tables and the auditory illusion called Shepard tones are named for him.

Shepard was born January 30, 1929, in Palo Alto, California. His father was a professor of materials science at Stanford. As a child and teenager, he enjoyed tinkering with old clockworks, building robots, and making models of regular polyhedra. Shepard obtained his Ph. D. in psychology at Yale University in 1955 under Carl Hovland, and completed post doctoral training with George Armitage Miller at Harvard. Subsequent to this, Shepard was at Bell Labs and then a professor at Harvard before joining the faculty at Stanford University. Shepard was Ray Lyman Wilbur Professor Emeritus of Social Science at Stanford University. His students include Lynn Cooper, Leda Cosmides, Rob Fish, Jennifer Freyd, George Furnas, Carol L. Krumhansl, Daniel Levitin, Michael McBeath, and Geoffrey Miller. In 1997, Shepard was one of the founders of the Kira Institute.

Shepard began researching mechanisms of generalization while he was still a graduate student at Yale: I was now convinced that the problem of generalization was the most fundamental problem confronting learning theory. Because we never encounter exactly the same total situation twice, no theory of learning can be complete without a law governing how what is learned in one situation generalizes to another. Shepard and collaborators "mapped" large sets of stimuli using the rank order of likelihood that a person or organism would generalize the response to Stimulus A and give the same response to Stimulus B. To use an example from Shepard's 1987 paper proposing his "Universal law of generalization": will a bird "generalize" that it can eat a worm slightly different from a previous worm that it found was edible? Shepard used geometric and spatial metaphors to map a psychological space where "distances" between different stimuli were larger or smaller depending on whether the stimuli were, respectively, less or more similar. These imaginary distances are interesting because they permit mathematical inferences: the "exponential decay" in response to stimuli based on the distance holds valid for a wide range of experiments with human beings and with other organisms.

In 1990, Shepard published a collection of his drawings called Mind Sights: Original visual illusions, ambiguities, and other anomalies, with a commentary on the play of mind in perception and art. One of these illusions ("Turning the tables," p. 48) has been widely discussed and studied as the "Shepard tabletop illusion" or "Shepard tables." Others, such as the figure ground confusing elephant he calls "L'egs istential quandary" (p. 79) are also widely known. Shepard is also noted for his invention of the musical illusion known as Shepard tones. He began his research on auditory illusions during his years at Bell Labs, where his colleague Max Mathews was experimenting with computerized music synthesis (Mind Sights, page 30.) Shepard tones give an illusion of
constantly increasing pitch. Musicians and sound effect designers use Shepard tones to create some special effects.

The Review of General Psychology named Shepard as one of the most "eminent psychologists of the 20th century" (55th on a list of 99 names, published in 2002). Rankings for the list were based on journal citations, elementary textbook mentions, and nominations by members of the American Psychological Society. Shepard was elected to the National Academy of Sciences in 1977 and to the American Philosophical Society in 1999. In 1995, he received the National Medal of Science. "For his theoretical and experimental work elucidating the human mind's perception of the physical world and why the human mind has evolved to represent objects as it does; and for giving purpose to the field of cognitive science and demonstrating the value of bringing the insights of many scientific disciplines to bear in scientific problem solving." In 2006, he won the Rumelhart Prize.