DocumentCode :
2894318
Title :
Collaborative decision making and intelligent reasoning in judge advisor systems
Author :
Wilkins, D.C. ; Mengshoel, O.J. ; Chernyshenko, O. ; Jones, P.M. ; Hayes, C.C. ; Bargar, R.
Author_Institution :
Beckman Inst. for Adv. Sci. & Technol., Illinois Univ., Urbana, IL, USA
Volume :
Track1
fYear :
1999
fDate :
5-8 Jan. 1999
Abstract :
This paper applies judgment and decision making research to collaborative problem solving. This analysis is done with respect to the Raven and CoRaven decision-making tools for filtering, interpreting, and visualizing large amounts of uncertain data in the domain of intelligence analysis. Raven and CoRaven are multimodal advisory decision aids and their inferential reasoning is based on Bayesian networks. Human decision makers and information sources interact with these decision making systems in many ways during their design, construction, refinement and usage. This paper analyzes the collaborative aspects of the use of Raven and CoRaven using the judge advisor system model.
Keywords :
belief networks; data visualisation; expert systems; group decision support systems; inference mechanisms; problem solving; uncertainty handling; Bayesian networks; CoRaven; Raven; collaborative decision making; collaborative problem solving; data filtering; data interpretation; data visualization; decision-making tools; intelligence analysis; intelligent reasoning; judge advisor systems; multimodal advisory decision aids; uncertain data; Bayesian methods; Collaboration; Collaborative tools; Collaborative work; Data visualization; Decision making; Humans; Information filtering; Information filters; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems Sciences, 1999. HICSS-32. Proceedings of the 32nd Annual Hawaii International Conference on
Conference_Location :
Maui, HI, USA
Print_ISBN :
0-7695-0001-3
Type :
conf
DOI :
10.1109/HICSS.1999.772748
Filename :
772748
Link To Document :
بازگشت