Marker-Passing and Microfeatures
Proceedings of the Tenth International Joint Conference on Artificial Intelligence. Cognitive Modeling. Pages 151-153.
Abstract
The cognitive modeling community is presently divided between two different approaches to the •pread of activation through networks. One school holds that .ymbolic information mut be procagated, the other that numeric weights are used and activation spreads in a more analog manner . In this paper we describe a mechanism which allows the two processes to be merged via the introduction into the .ymboJic network of a dejininf•C/aGrllcferiftic link which is affects the spread of the .ymbolic information in a manner resembling local connectionist computations . We demonstrate that the combined .ystem is more powerful than either or the separate models alone.
@inproceedings{ijcai1987p29,
title = {Marker-Passing and Microfeatures},
author = {Hendler, James A.},
booktitle = {Proceedings of the Tenth International Joint Conference on
Artificial Intelligence, {IJCAI-87}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {John McDermott},
pages = {151--153},
year = {1987},
note = {Cognitive Modeling},
url = {https://ijcai.org/proceedings/1987/29},
}
TY - CPAPER TI - Marker-Passing and Microfeatures AU - Hendler, James A. T2 - Proceedings of the Tenth International Joint Conference on Artificial Intelligence, IJCAI-87 PB - International Joint Conferences on Artificial Intelligence PY - 1987 SP - 151 EP - 153 UR - https://ijcai.org/proceedings/1987/29 ER -Copied
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