(Enter summary)
Abstract: "Uncertainty in artificial intelligence" is an active research field, where several approaches
have been suggested and studied for dealing with various types of uncertainty. However, it's
hard to rank the approaches in general, because each of them is usually aimed at a special
application environment.
This paper begins by defining such an environment, then show why some existing approaches
cannot be used in such a situation. Then a new approach, Non-Axiomatic Reasoning System,
is introduced to ... (Update)
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BibTeX entry: (Update)
Wang, P. (1995c). An unified treatment of uncertainties. In Proceedings of the Fourth International Conference for Young Computer Scientists, pages 462--467, Beijing. http://citeseer.ist.psu.edu/wang93unified.html More
@inproceedings{ wang93unified,
author = "Zheng Wang and Jon Crowcroft",
title = "A Unified Framework for Multicast Forwarding",
booktitle = "Network and Operating System Support for Digital Audio and Video",
pages = "252-258",
year = "1993",
url = "citeseer.ist.psu.edu/wang93unified.html" }
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From inheritance relation to non-axiomatic logic
- Wang - 1993
[Article contains additional citations not shown here]
Documents on the same site (http://www.cogsci.indiana.edu/farg/peiwang/papers.html): More
Heuristics and Normative Models of Judgment under Uncertainty - Wang (1994)
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Unified Inference in Extended Syllogism - Wang (1998)
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On the Working Definition of Intelligence - Wang (1995)
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