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ASME Press Select Proceedings
Intelligent Engineering Systems Through Artificial Neural Networks, Volume 17
Editor
ISBN-10:
0791802655
No. of Pages:
650
Publisher:
ASME Press
Publication date:
2007
eBook Chapter
61 Event Calculus and Probabilistic Knowledge Base of Conditional Events in Complex Systems Management
By
Francesco Rago, Phd
M3 Comp. LLC Newark, DE USA
Francesco Rago, Phd
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Page Count:
6
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Published:2007
Citation
Rago, F. "Event Calculus and Probabilistic Knowledge Base of Conditional Events in Complex Systems Management." Intelligent Engineering Systems Through Artificial Neural Networks, Volume 17. Ed. Dagli, CH. ASME Press, 2007.
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Technological environments are growing in complexity and their governance is difficult. To improve the timeliness and accuracy of nonhuman decision-making in a system environment we are faced with an array of crucial problems, including how to handle large amounts of incoming and uncertain information from disparate sources coded as events of different type. Artificial Intelligence has developed theories to manage events and actions (McCarthy, Kowalski) and we present an event calculus formalism featuring events and action integrated with temporal logic. We have designed and realized an algorithm that permits to a software system to be able to forecast future actions...
Abstract
Introduction
Sensor Networks
Modeling a Sensors Net System
Events Calculus
Conditional Events Probabilistic Knowledge
Conditional Events Probabilistic Knowledge Construction
Discussion
Conclusions
References
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