Input Data Management in Real-Time AI Systems
Proceedings of the Eleventh International Joint Conference on Artificial Intelligence. Real-time and High Performance. Pages 250-254.
Abstract
A real-time AI system in the real world needs to monitor an immense volume of data. To do this, the system must filter out much of the incoming data. However, it must remain responsive to important or unexpected events in the data. This paper describes some simple approaches to data management, shows how they can fail to be both adequately selective and responsive, and presents an approach that improves on the simple approaches by making use of information about the system's resources and ongoing tasks. The new approach has been applied in a system for monitoring patients in a surgical intensive-care unit.
@inproceedings{ijcai1989p40,
title = {Input Data Management in Real-Time AI Systems},
author = {Washington, Richard and Hayes-Roth, Barbara},
booktitle = {Proceedings of the Eleventh International Joint Conference on
Artificial Intelligence, {IJCAI-89}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {N. S. Sridharan},
pages = {250--254},
year = {1989},
month = {8},
note = {Real-time and High Performance},
url = {https://ijcai.org/proceedings/1989/40},
}
TY - CPAPER TI - Input Data Management in Real-Time AI Systems AU - Washington, Richard AU - Hayes-Roth, Barbara T2 - Proceedings of the Eleventh International Joint Conference on Artificial Intelligence, IJCAI-89 PB - International Joint Conferences on Artificial Intelligence PY - 1989 SP - 250 EP - 254 UR - https://ijcai.org/proceedings/1989/40 ER -Copied
Machine-readable versions of this paper, for tools and AI agents:
