Reasoning about Categories in Conceptual Spaces
Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence. Pages 385-391.
Abstract
Understanding the process of categorization is a primary research goal in artificial intelligence. The conceptual space framework provides a flexible approach to modeling context-sensitive categorization via a geometrical representation designed for modeling and managing concepts. In this paper we show how algorithms developed in computational geometry, and the Region Connection Calculus can be used to model important aspects of categorization in conceptual spaces. In particular, we demonstrate the feasibility of using existing geometric algorithms to build and manage categories in conceptual spaces, and we show how the Region Connection Calculus can be used to reason about categories and other conceptual regions.
@inproceedings{ijcai2001p54,
title = {Reasoning about Categories in Conceptual Spaces},
author = {Gärdenfors, Peter and Williams, Mary-Anne},
booktitle = {Proceedings of the Seventeenth International Joint Conference on
Artificial Intelligence, {IJCAI-01}},
publisher = {International Joint Conferences on Artificial Intelligence},
pages = {385--391},
year = {2001},
url = {https://ijcai.org/proceedings/2001/54},
}
TY - CPAPER TI - Reasoning about Categories in Conceptual Spaces AU - Gärdenfors, Peter AU - Williams, Mary-Anne T2 - Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, IJCAI-01 PB - International Joint Conferences on Artificial Intelligence PY - 2001 SP - 385 EP - 391 UR - https://ijcai.org/proceedings/2001/54 ER -Copied
Machine-readable versions of this paper, for tools and AI agents:
