RESIN:
A RESource bounded INformation Gathering System for Visual Analytics
Real world analytical tasks are very complex because the problem-solving context is constantly evolving, and the data maybe incomplete, unreliable and/or conflicting. We are developing a mixed-initiative reasoning agent that will assist investigativeanalysts to choose from and reason about enormous databases of text, imagery, video and webcast. This agent leverages a blackboard system and resource-bounded control mechanisms to support hypothesis tracking and validation in a highly uncertain environment. Interactive visualizations are used to pass information between the agent and the human analysts during problem solving.
PI: Anita Raja
RAs : Evan Liu, Jia Yue
Collaborators: Professor Bill Ribarsky
This work is supported by the grant to establish the Regional Visual Analytics Center (RVAC) at UNCC and Georgia Tech. Professor Ribarsky's presentation on the vision of the RVAC can be found here
Links:
SouthEast Regional Visualization and Analytics Center (SRVAC)
Charlotte Visual Analytics Center
Publications:
Dingxiang Liu, Jia Yue, Xiaoyu Wang, Anita Raja, William Ribarsky "The Role of Blackboard-based Reasoning and Visual Analytics in RESIN's Predictive Analysis", To appear in Proceedings of 2008 IEEE/ WIC/ ACM International Conference on Intelligent Agent Technology (IAT 2008), Sydney, Dec 9-12, 2008. Extended version is CVC Technical Report CVC-UNCC-08-29, July 2008 .
Dingxiang Liu, Anita Raja, and Jayasri Vaidyanath, " TIBOR: A Resource-bounded Information Foraging Agent for Visual Analytics " Proceedings of 2007 IEEE/ WIC/ ACM International Conference on Intelligent Agent Technology (IAT 2007), pp 349-355, Silicon Valley, CA, Nov 2-5, 2007
Anita Raja and Ashok Goel, "Introspective Self-Explanation in Analytical Agents", Proceedings of AAMAS 2007 Workshop on Metareasoning in Agent-based Systems, pp 76-91, Hawaii, May 2007.