Reactive Control of Dynamic Progressive Processing
Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence. Uncertainty and Probabilistic Reasoning. Pages 1268-1272.
Abstract
Progressive processing is a model of computation that allows a system to tradeoff computational resources against the quality of results. 'l;his paper generalizes the existing model to make it suitable for dynamic composition of information retrieval techniques. The new framework addresses effectively the uncertainty associated with the duration and output quality of each component. We show how to construct an optimal meta-level controller for a single task based on solving a corresponding Markov decision problem, and how to extend the solution to the case of multiple and dynamic tasks using the notion of an opportunity cost.
@inproceedings{ijcai1999p180,
title = {Reactive Control of Dynamic Progressive Processing},
author = {Zilberstein, Shlomo and Mouaddib, Abdel-Illah},
booktitle = {Proceedings of the Sixteenth International Joint Conference on
Artificial Intelligence, {IJCAI-99}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Thomas Dean},
pages = {1268--1272},
year = {1999},
note = {Uncertainty and Probabilistic Reasoning},
url = {https://ijcai.org/proceedings/1999/180},
}
TY - CPAPER TI - Reactive Control of Dynamic Progressive Processing AU - Zilberstein, Shlomo AU - Mouaddib, Abdel-Illah T2 - Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, IJCAI-99 PB - International Joint Conferences on Artificial Intelligence PY - 1999 SP - 1268 EP - 1272 UR - https://ijcai.org/proceedings/1999/180 ER -Copied
Machine-readable versions of this paper, for tools and AI agents:
