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Conference on Complex Systems
October 29-30, 2004; Northwestern University
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Carla Gomes Paper | Homepage |
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Heavy-tailed Phenomena in Computation
In recent years, it has become clear that extreme events often occur
much more frequently than standard statistical models would predict.
Such non-standard distributions have recently been observed in areas
as diverse as economics, statistical physics, and
geophysics. Computational processes are also characterized by extreme
fluctuations. In fact the runtime distributions of computational
search methods exhibit intriguing properties, often characterized by
very long tails or "heavy tails". I will discuss how one can
dramatically boost the performance of computational search procedures
for solving real-world problems by exploiting the heavy tailed
phenomena. I will also discuss formal models of heavy-tails in
combinatorial search and discuss different "statistical regimes of
heavy-tailed behavior" in combinatorial domains, providing a general
characterization of parameter regions where heavy-tailed behavior is
prevalent.
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