Using Multi-Agent Systems to Represent Uncertainty
Abstract
The author considers a logical framework for modeling uncertainty, based on the use of possible worlds, that incorporates knowledge, probability, and time. This turns out to be a powerful approach for modeling many problems of interest. He shows how it can be used to give insights into (among other things) several well-known puzzles.
Cite
Text
Halpern. "Using Multi-Agent Systems to Represent Uncertainty." AAAI Conference on Artificial Intelligence, 1996.Markdown
[Halpern. "Using Multi-Agent Systems to Represent Uncertainty." AAAI Conference on Artificial Intelligence, 1996.](https://mlanthology.org/aaai/1996/halpern1996aaai-using/)BibTeX
@inproceedings{halpern1996aaai-using,
title = {{Using Multi-Agent Systems to Represent Uncertainty}},
author = {Halpern, Joseph Y.},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {1996},
pages = {1329-1330},
url = {https://mlanthology.org/aaai/1996/halpern1996aaai-using/}
}