Belief Functions for Real-Time Script Processing
Proceedings of the Tenth International Joint Conference on Artificial Intelligence. Knowledge Representation. Pages 502-507.
Abstract
Real-time situation understanding is a difficult problem, in that decisions must be made on a continuous basis with continuously changing data. An attractive approach to the problem is to match the current data set to a memory of script-like structures. Partial matching to scripts enables powerful understanding and prediction, but requir e s robust uncertainty mechanisms to overcome inherent ambiguity and error. Although powerful uncerta i nt y techniques dealing with time-relevant dat e have developed, little with regard to implications of the real-time problem has presented. for been the been This paper discusses some of the special requirements for a real-time script belief function, and presents a der i vation of such a function. Finally, examples demonstrating the characteristics of the Script Belief function are provided.
@inproceedings{ijcai1987p99,
title = {Belief Functions for Real-Time Script Processing},
author = {Schaefer, Philip},
booktitle = {Proceedings of the Tenth International Joint Conference on
Artificial Intelligence, {IJCAI-87}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {John McDermott},
pages = {502--507},
year = {1987},
note = {Knowledge Representation},
url = {https://ijcai.org/proceedings/1987/99},
}
TY - CPAPER TI - Belief Functions for Real-Time Script Processing AU - Schaefer, Philip T2 - Proceedings of the Tenth International Joint Conference on Artificial Intelligence, IJCAI-87 PB - International Joint Conferences on Artificial Intelligence PY - 1987 SP - 502 EP - 507 UR - https://ijcai.org/proceedings/1987/99 ER -Copied
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