Graph-based Models for Data and Decision Making.

摘要

This effort is focused on developing and applying tools for modeling human information processing. Models include transformations of response time data from empirical studies, and complex network models for capturing broader dynamics of complex systems. Progress so far has resulted in some theoretical work in the area of response time modeling of workload capacity and dimer automata complex systems models of information transmission through a network. We have designed a novel approach for interfacing cognitive models and user interfaces, and have explored relationships between mathematical and computational models of a detection task. Additionally, new visual tools for pattern discovery and visual analytics are proposed based on topological data analysis theory. Several pieces of open source software have been developed for implementing these analyses and making them widely available.