Predicting the Performance of Distributed Knowledge-Based Systems: A Modeling Approach
Abstract
A model of a distributed knowledge-based system is presented. The model captures the features specific to those systems, such as alternative paths to the solution utilization of inexact and/or incomplete knowledge and data, dynamic task creation, complex subproblem dependencies and focusing aspect of problem solving. The model is applied to the analysis of communication policies in a distributed interpretation system. The result of the analysis is the best policy for the given environment and system conditions. Another use of the model as a real-time simulation tool is suggested.
Cite
Text
Pavlin. "Predicting the Performance of Distributed Knowledge-Based Systems: A Modeling Approach." AAAI Conference on Artificial Intelligence, 1983.Markdown
[Pavlin. "Predicting the Performance of Distributed Knowledge-Based Systems: A Modeling Approach." AAAI Conference on Artificial Intelligence, 1983.](https://mlanthology.org/aaai/1983/pavlin1983aaai-predicting/)BibTeX
@inproceedings{pavlin1983aaai-predicting,
title = {{Predicting the Performance of Distributed Knowledge-Based Systems: A Modeling Approach}},
author = {Pavlin, Jasmina},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {1983},
pages = {314-319},
url = {https://mlanthology.org/aaai/1983/pavlin1983aaai-predicting/}
}