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Abstract: Complex real-world systems consist of collections of interacting processes/events. These processes change over time in response to both internal and external stimuli as well as to the passage of time. Many domains such as real-time systems diagnosis, (mechanized) story understanding, planning and scheduling, and financial forecasting require the capability to model complex systems under a unified framework to deal with both time and uncertainty. Existing uncertainty representations and existing ... (Update)
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BibTeX entry: (Update)
J. D. Young, "On Unifying Time and Uncertainty: The Probabilistic Temporal Network" In Part Fulfillment of the Requirements for Masters of Science, Air Force Institute of Technology, 1996. http://citeseer.ist.psu.edu/young96unifying.html More
@mastersthesis{ jdy:ptn,
author = {Young, Joel D.},
title = {On Unifying Time and Uncertainty: The Probabilistic Temporal Network},
year = {1996},
number = {AFIT/GCS/ENG/96D-30},
school = {Graduate School of Engineering, Air Force Institute of Technology},
url = {citeseer.ist.psu.edu/young96unifying.html},
url = {citeseer.nj.nec.com/article/young96unifying.html} }
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