How to Represent Evidence - Aspects of Uncertain Reasoning
Proceedings of the Eighth International Joint Conference on Artificial Intelligence. Knowledge Representation. Pages 358-360.
Abstract
In order to represent uncertain knowledge especially inference rules matching uncertain knowledge structures - several extensions of a representation schema are described. First a twodimensional evidence space is introduced to express positive and negative evidence. It is shown how indicators of evidence (as parts of NL-utterances) modify evidence values by modification rules. Evidence values (points of the evidence space) can be used in place of truth values in order to represent inference rules. To do this the extensions deal with the goal point concept for redefining 'verify' (together with the concepts of neighborhood, deviation, and direction), and the concept of relevance reflecting the relationship between a single premise and the conclusion.
@inproceedings{ijcai1983p85,
title = {How to Represent Evidence - Aspects of Uncertain Reasoning},
author = {Rollinger, Claus-Rainer},
booktitle = {Proceedings of the Eighth International Joint Conference on
Artificial Intelligence, {IJCAI-83}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Alan Bundy},
pages = {358--360},
year = {1983},
note = {Knowledge Representation},
url = {https://ijcai.org/proceedings/1983/85},
}
TY - CPAPER TI - How to Represent Evidence - Aspects of Uncertain Reasoning AU - Rollinger, Claus-Rainer T2 - Proceedings of the Eighth International Joint Conference on Artificial Intelligence, IJCAI-83 PB - International Joint Conferences on Artificial Intelligence PY - 1983 SP - 358 EP - 360 UR - https://ijcai.org/proceedings/1983/85 ER -Copied
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