In Defense of Browsing An Essay by Leanne Shapton www.curbed.com The feeling of fortuitous gratitude at coming across unexpected information is something most of us who’ve done any research, have experienced — that kismet of finding the perfect book, one spine away from the one that was sought. In the field of art and image research, this sparking of transmission, of sequence and connection, happens on a subconscious level. …Why is the vernacular image still being dismissed as ephemera? Why is its study not being prioritized? All languages are alive, but visual language is galactic. Keywords are not eyeballs, and creating rutted pathways to follow is the antithesis of study. A century of visual language, knowledge, and connectivity is marching toward a narrow, parsimonious basement of nomenclature. The NYPL takes a step backward if it models its shelves and research on a search engine. Spontaneity is learning. Browsing is research. The art of finding what you didn’t know you were looking forMarginalia Search connectionresearchlanguageserendipitychance
Wang tiles Wang tiles (Hao Wang, 1961) are a class of formal systems. They are modelled visually by square tiles with a color on each side. A set of such tiles is selected, and copies of the tiles are arranged side by side with matching colors, without rotating or reflecting them. The basic question about a set of Wang tiles is whether it can tile the plane or not, i.e., whether an entire infinite plane can be filled this way. The next question is whether this can be done in a periodic pattern. In 1966, Wang's student Robert Berger solved the problem in the negative. He proved that no algorithm for the problem can exist, by showing how to translate any Turing machine into a set of Wang tiles that tiles the plane if and only if the Turing machine does not halt. The undecidability of the halting problem then implies the undecidability of Wang's tiling problem. Wikipedia en.wikipedia.org Truchet TilesThe Tiling Patterns of Sebastien Truchet and the Topology of Structural Hierarchy mathalgorithms