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While mathematics in architecture has historically referenced
notions of order, proportion, and ideal form, the discipline of
mathematics itself has shifted to encompass uncertainty,
incompleteness, relativity, and chaos towards a situation in which
truth itself is elusive. This move stems in part from an engagement
with real phenomena, in which natural systems were shown to behave
non-linearly and unpredictably. In architecture, while
computational developments enabling dynamic and variable modeling
have been subsumed into our culture of design and production, a new
kind of idealism has emerged. Formally prolific and inherently
multiplicitous, this book proposes algorithmic truth and
statistical outcomes over predetermined objectives; it signifies a
retreat away from reality and back towards abstraction and
simulation in the smooth space of possibility. Meanwhile, the
consequences of uncertainty have pervaded our culture to its core.
Recovering from the initial high of fractal and random geometrical
proficiency, architecture is just beginning to re-embrace the
underlying issues embedded within this contemporary mathematics:
uncertainty, unpredict-ability, chance, recursion, wildness, and
informality. Contributors: Cecil Balmond, Mario Carpo, Lily Chi +
Adrian Lewis, Dana Cupkova + Kevin Pratt, Tom Fecht, Francois
Roche, Jenny Sabin, Anthony Vidler and others.
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