The Mercator Representation of Spatial Knowledge
Proceedings of the Eighth International Joint Conference on Artificial Intelligence. Knowledge Representation. Pages 295-300.
Abstract
The MERCATOR program constructs a cognitive map from a sequence of scene descriptions. A new representation of two-dimensional geography was developed for this program. 0bjects are represented by sets of polygons; their boundaries, by sets of directed edges. The relative positions of objects are determined by connecting edges. A truth conditional semantics for this representation is presented, its strengths and weaknesses are evaluated, and it is com pared to other AI representations of shape and position.
@inproceedings{ijcai1983p70,
title = {The Mercator Representation of Spatial Knowledge},
author = {Davis, Ernest},
booktitle = {Proceedings of the Eighth International Joint Conference on
Artificial Intelligence, {IJCAI-83}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Alan Bundy},
pages = {295--300},
year = {1983},
note = {Knowledge Representation},
url = {https://ijcai.org/proceedings/1983/70},
}
TY - CPAPER TI - The Mercator Representation of Spatial Knowledge AU - Davis, Ernest T2 - Proceedings of the Eighth International Joint Conference on Artificial Intelligence, IJCAI-83 PB - International Joint Conferences on Artificial Intelligence PY - 1983 SP - 295 EP - 300 UR - https://ijcai.org/proceedings/1983/70 ER -Copied
Machine-readable versions of this paper, for tools and AI agents:
