Neural-Net Implementation of Complex Symbol-Processing in a Mental Model Approach to Syllogistic Reasoning
Proceedings of the Eleventh International Joint Conference on Artificial Intelligence. Cognitive Models. Pages 568-572.
Abstract
A neural net system called "Conposit" is described. Conposit performs rule-based manipulation of very short term, complex symbolic data structures. This paper concentrates on a simulated version of Conposit that embodies core aspects of JohnsonLaird's mental model theory of syllogistic reasoning. This Conposit version is not intended to be a psychological theory, but rather to act as a test and demonstration of the power and flexibility of Conposit's unusual connectionist techniques for encoding the structure of data.
@inproceedings{ijcai1989p91,
title = {Neural-Net Implementation of Complex Symbol-Processing in a Mental Model Approach to Syllogistic Reasoning},
author = {Barnden, John A.},
booktitle = {Proceedings of the Eleventh International Joint Conference on
Artificial Intelligence, {IJCAI-89}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {N. S. Sridharan},
pages = {568--572},
year = {1989},
month = {8},
note = {Cognitive Models},
url = {https://ijcai.org/proceedings/1989/91},
}
TY - CPAPER TI - Neural-Net Implementation of Complex Symbol-Processing in a Mental Model Approach to Syllogistic Reasoning AU - Barnden, John A. T2 - Proceedings of the Eleventh International Joint Conference on Artificial Intelligence, IJCAI-89 PB - International Joint Conferences on Artificial Intelligence PY - 1989 SP - 568 EP - 572 UR - https://ijcai.org/proceedings/1989/91 ER -Copied
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