ML Anthology

Visual Analogy in Problem Solving

Jim Davies, Ashok K. Goel
IJCAI 2001 pp. 377-384
/ijcai/2001/davies2001ijcai-visual/

Abstract

Computational models of analogical problem solving have traditionally described source and target domains in terms of their causal structure. But psychological research shows that visual reasoning plays a part for many kinds of analogies. This paper describes a model that transfers a solution from a source analog to a new target problem using only visual knowledge represented symbolically. The knowledge representation is based on a language of primitive visual elements and transformations. We found that visual knowledge is sufficient for transfer, but that causal knowledge is needed to determine if the transferred solution is appropriate. 1

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Text

Davies and Goel. "Visual Analogy in Problem Solving." International Joint Conference on Artificial Intelligence, 2001.

Markdown

[Davies and Goel. "Visual Analogy in Problem Solving." International Joint Conference on Artificial Intelligence, 2001.](https://mlanthology.org/ijcai/2001/davies2001ijcai-visual/)

BibTeX

@inproceedings{davies2001ijcai-visual,
  title     = {{Visual Analogy in Problem Solving}},
  author    = {Davies, Jim and Goel, Ashok K.},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2001},
  pages     = {377-384},
  url       = {https://mlanthology.org/ijcai/2001/davies2001ijcai-visual/}
}