Discovering simulation models

Discovering simulation models

Process mining is a tool to extract non-trivial and useful information from process execution logs. These so-called event logs (also called audit trails, or transaction logs) are the starting point for various discovery and analysis techniques that help to gain insight into certain characteristics of the process. In this paper we use a combination of process mining techniques to discover multip...

Discovering Ecosystem Models

a study on thermodynamic models for simulation of 1,3 butadiene purification columns

attempts have been made to study the thermodynamic behavior of 1,3 butadiene purification columns with the aim of retrofitting those columns to more energy efficient separation schemes. 1,3 butadiene is purified in two columns in series through being separated from methyl acetylene and 1,2 butadiene in the first and second column respectively. comparisons have been made among different therm...

Discovering simple heuristics from mental simulation

In the history of cognitive science, there have been two competing philosophies regarding how people reason about the world. In one, people rely on rich, generative models to make predictions about a wide range of scenarios; while in the other, people have a large “bag of tricks”, idiosyncratic heuristics that tend to work well in practice. In this paper, we suggest that rather than being in op...

Discovering coreference using image-grounded verb models

Breaking away from traditional attempts at coreference resolution from discourseonly inputs, we try to do the same by constructing rich verb semantics from perceptual data, viz. a 2-D video. Using a bottom-up dynamic attention model and relative-motion-features between agents in the video, transitive verbs, their argument ordering etc. are learned through association with co-occurring adult com...