TY - GEN
T1 - A model for reasoning about interaction with users in dynamic, time critical environments for the application of hospital decision making
AU - Jung, Hyunggu
AU - Cohen, Robin
PY - 2010
Y1 - 2010
N2 - In this paper, we present a model for reasoning about interaction with users in dynamic, time critical environments in a way that is sensitive to the cost of bother. We project the model into the scenario of decision making in hospital emergency room settings, providing a framework for modeling the doctors in that environment, to determine whom to ask to attend to a current patient. A simulation of our model demonstrates that it offers valuable improvements due to its reasoning about bother.
AB - In this paper, we present a model for reasoning about interaction with users in dynamic, time critical environments in a way that is sensitive to the cost of bother. We project the model into the scenario of decision making in hospital emergency room settings, providing a framework for modeling the doctors in that environment, to determine whom to ask to attend to a current patient. A simulation of our model demonstrates that it offers valuable improvements due to its reasoning about bother.
UR - http://www.scopus.com/inward/record.url?scp=77953795586&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-13059-5_37
DO - 10.1007/978-3-642-13059-5_37
M3 - Conference contribution
AN - SCOPUS:77953795586
SN - 3642130585
SN - 9783642130588
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 319
EP - 323
BT - Advances in Artificial Intelligence - 23rd Canadian Conference on Artificial Intelligence, Canadian AI 2010, Proceedings
T2 - 23rd Canadian Conference on Artificial Intelligence, Canadian AI 2010
Y2 - 31 May 2010 through 2 June 2010
ER -