Towards a Model of Grounded Concept Formation
Proceedings of the Twelfth International Joint Conference on Artificial Intelligence. Learning Be Knowledge Acquisition. Pages 712-718.
Abstract
In most research on concept formation within machine learning and cognitive psychology, the f ea tures from which concepts are built are assumed to be provided as elementary vocabulary. In this paper, we argue that this is an unnecessarily limited paradigm within which to examine concept formation. Based on evidence from psychology and machine learning, we contend that a principled account of the origin of features can only be given with a grounded model of concept formation, i.e ., with a model that incorporates direct access to the world via sensors and manipulators. We discuss the domain of process control as a suitable framework for research into such models , and present a first approach to the problem of developing elementary vocabularies from perceptual sensor data.
@inproceedings{ijcai1991p104,
title = {Towards a Model of Grounded Concept Formation},
author = {Wrobel, Stefan},
booktitle = {Proceedings of the Twelfth International Joint Conference on
Artificial Intelligence, {IJCAI-91}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {John Mylopoulos and Ray Reiter},
pages = {712--718},
year = {1991},
month = {8},
note = {Learning Be Knowledge Acquisition},
url = {https://ijcai.org/proceedings/1991/104},
}
TY - CPAPER TI - Towards a Model of Grounded Concept Formation AU - Wrobel, Stefan T2 - Proceedings of the Twelfth International Joint Conference on Artificial Intelligence, IJCAI-91 PB - International Joint Conferences on Artificial Intelligence PY - 1991 SP - 712 EP - 718 UR - https://ijcai.org/proceedings/1991/104 ER -Copied
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