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/}
}