Heuristics for Knowledge Acquisition from Maps
Proceedings of the Sixth International Joint Conference on Artificial Intelligence. .
Abstract
Acquiring knowledge from a map depends upon procedures for focusing attention, encoding information, and integrating diverse knowledge. This paper describes the heuristics people use to study and learn maps. Verbal protocols obtained from eight subjects suggested four categories of procedures that w~re invoked during learning: attention, encoding, evaluation, and control. The use of certain heuristics in each category was highly predictive of learning success. Good learners differed from poor learners in their ability to encode spatial information, to evaluate their learning progress, and to focus their attention in accordance with a learning plan. Many of the successful heuristics appear to be readily trainable.
@inproceedings{ijcai1979p194,
title = {Heuristics for Knowledge Acquisition from Maps},
author = {Thorndyke, Perry W.},
booktitle = {Proceedings of the Sixth International Joint Conference on
Artificial Intelligence, {IJCAI-79}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Bruce G. Buchanan},
year = {1979},
month = {8},
url = {https://ijcai.org/proceedings/1979/194},
}
TY - CPAPER TI - Heuristics for Knowledge Acquisition from Maps AU - Thorndyke, Perry W. T2 - Proceedings of the Sixth International Joint Conference on Artificial Intelligence, IJCAI-79 PB - International Joint Conferences on Artificial Intelligence PY - 1979 UR - https://ijcai.org/proceedings/1979/194 ER -Copied
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