A Cognitive Model of Visual Analogical Problem-Solving Transfer
Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence. Pages 1556-1556.
Abstract
Complex problem solving typically involves the generation of a procedure consisting of an ordered sequence of steps. Analogical reasoning is one strategy for solving complex problems, and visual reasoning is another. Visual analogies pertain to analogies based only on visual knowledge. In this paper, we describe the use of Galatea, a computational model of visual analogies in problem solving, to model the problem solving of a human subject (L14). L14 was a given the task of solving a complex problem using analogy in a domain that contained both visual and non-visual knowledge, and was encouraged to use visual analogy. We describe how Galatea models L14’s use of visual analogy in problem solving.
@inproceedings{ijcai2005p307,
title = {A Cognitive Model of Visual Analogical Problem-Solving Transfer},
author = {Davies, Jim and Goel, Ashok K. and Nersessian, Nancy J.},
booktitle = {Proceedings of the Nineteenth International Joint Conference on
Artificial Intelligence, {IJCAI-05}},
publisher = {International Joint Conferences on Artificial Intelligence},
pages = {1556--1556},
year = {2005},
url = {https://ijcai.org/proceedings/2005/307},
}
TY - CPAPER TI - A Cognitive Model of Visual Analogical Problem-Solving Transfer AU - Davies, Jim AU - Goel, Ashok K. AU - Nersessian, Nancy J. T2 - Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05 PB - International Joint Conferences on Artificial Intelligence PY - 2005 SP - 1556 EP - 1556 UR - https://ijcai.org/proceedings/2005/307 ER -Copied
Machine-readable versions of this paper, for tools and AI agents:
