Title
Closing the Information Loop
Author
Marck, J.W.
van Gosliga, S.P.
TNO Defensie en Veiligheid
Publication year
2008
Abstract
Decision support systems require a form of situation awareness. to generate situation awareness information is needed. not all available information is necessary or equally influential. this paper proposes a way to determine which and when information is relevant. the goal of this is to minimize communication and processing of irrelevant information. our system is inspired by a few first responder experiments done in our lab. in these experiments first responders had to respond to a calamity. the information need of responders was analyzed. to have good team performance it was clear that at certain times certain information was important. we modeled a toy problem after this scenario and we use this illustrate our method of reducing irrelevant information. our toy problem consists of a bayesian network with which sensitivity analysis is used to illustrate which information is relevant. a simple tracker scenario with information theoretic techniques is used to illustrate when information is relevant.
Subject
First responders
Information need
Information theoretic techniques
Situation awareness
Team performance
Bayesian networks
Decision support systems
Experiments
Information theory
Artificial intelligence
To reference this document use:
http://resolver.tudelft.nl/uuid:6bd5e991-5654-46a2-9456-3acd50136168
TNO identifier
221577
Source
The 20th Belgian-Netherlands Conference on Artificial Intelligence - BNAIC 2008, October 30-31, 2008, University of Twente, Enschede, the Netherlands
Document type
conference paper