ML Anthology

Defaults and Infinitesimals Defeasible Inference by Nonarchimedean Entropy-Maximization

Emil Weydert
UAI 1995 pp. 540-547
/uai/1995/weydert1995uai-defaults/

Abstract

We develop a new semantics for defeasible inference based on extended probability measures allowed to take infinitesimal values, on the interpretation of defaults as generalized conditional probability constraints and on a preferred-model implementation of entropy maximization.

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Cite

Text

Weydert. "Defaults and Infinitesimals Defeasible Inference by Nonarchimedean Entropy-Maximization." Conference on Uncertainty in Artificial Intelligence, 1995.

Markdown

[Weydert. "Defaults and Infinitesimals Defeasible Inference by Nonarchimedean Entropy-Maximization." Conference on Uncertainty in Artificial Intelligence, 1995.](https://mlanthology.org/uai/1995/weydert1995uai-defaults/)

BibTeX

@inproceedings{weydert1995uai-defaults,
  title     = {{Defaults and Infinitesimals Defeasible Inference by Nonarchimedean Entropy-Maximization}},
  author    = {Weydert, Emil},
  booktitle = {Conference on Uncertainty in Artificial Intelligence},
  year      = {1995},
  pages     = {540-547},
  url       = {https://mlanthology.org/uai/1995/weydert1995uai-defaults/}
}