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 includetransformations of response time data from empirical studies, and complex network models for capturing broader dynamicsof complex systems. Progress so far has resulted in some theoretical work in the area of response time modleing ofworkload capacity and dimer automata complex systems models of information transmission through a network. Additionally, new visual tools for pattern discovery and visual analytics are proposed based on topological data analysistheory. Several pieces of open source software have been developed for implementing these analyses and making them widely available.