We used a new method to assess how people can infer unobserved causal structure from patterns of observed events. Participants were taught to draw causal graphs, and then shown a ...
Tamar Kushnir, Alison Gopnik, Chris Lucas, Laura S...
Three parallel optimisation algorithms for use in the context of multilevel graph partitioning for unstructured meshes are described. The first, interface optimisation reduces the...
The measure dep-degree is a simple indicator for structural problems and complex dependencies on code-level. We model low-level dependencies between program operations as use-def ...
Consider the complete n-vertex graph whose edge-lengths are independent exponentially distributed random variables. Simultaneously for each pair of vertices, put a constant flow ...
Abstract Communities of autonomous units are devices for the visual modeling of interactive logistic processes. The framework is founded on rule-based graph transformation and allo...