Reasoning about Noisy Sensors in the Situation Calculus
Fahiem Bacchus, Joseph Y. Halpern, et al.
IJCAI 1995
This paper presents a vision for applying the Watson technology to health care and describes the steps needed to adapt and improve performance in a new domain. Specifically, it elaborates upon a vision for an evidence-based clinical decision support system, based on the DeepQA technology, that affords exploration of a broad range of hypotheses and their associated evidence, as well as uncovers missing information that can be used in mixed-initiative dialog. It describes the research challenges, the adaptation approach, and finally reports results on the first steps we have taken toward this goal. © 2012 Elsevier B.V.
Fahiem Bacchus, Joseph Y. Halpern, et al.
IJCAI 1995
Hannah Kim, Celia Cintas, et al.
IJCAI 2023
S. Winograd
Journal of the ACM
Robert Farrell, Rajarshi Das, et al.
AAAI-SS 2010