Reducing Ambiguity by Learning Assembly Specific Behaviour
Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence. Machine Learning. Pages 980-986.
Abstract
In this paper we present a technique for automatically generating constraints on parameter derivatives that reduce ambiguity in the behaviour prediction. Starting with a behaviour prediction using an initial library containing general domain knowledge the technique employs feedback about valid and spurious states of behaviour and knowledge about the causal dependencies between the parameters in the model in order to determine the constraints that remove the undesired states of behaviour that result from spurious ambiguity. In addition, the technique points out the assembly of physical objects to which the generated constraints apply.
@inproceedings{ijcai1993p135,
title = {Reducing Ambiguity by Learning Assembly Specific Behaviour},
author = {Bredeweg, Bert and Schut, Cis},
booktitle = {Proceedings of the Thirteenth International Joint Conference on
Artificial Intelligence, {IJCAI-93}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Ruzena Bajcsy},
pages = {980--986},
year = {1993},
note = {Machine Learning},
url = {https://ijcai.org/proceedings/1993/135},
}
TY - CPAPER TI - Reducing Ambiguity by Learning Assembly Specific Behaviour AU - Bredeweg, Bert AU - Schut, Cis T2 - Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence, IJCAI-93 PB - International Joint Conferences on Artificial Intelligence PY - 1993 SP - 980 EP - 986 UR - https://ijcai.org/proceedings/1993/135 ER -Copied
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