Visual Analogy in Problem Solving

Davies, Jim; Goel, Ashok K.

Visual Analogy in Problem Solving

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Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence. Pages 377-383.

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.

Jim Davies, and Ashok K. Goel. 2001. Visual Analogy in Problem Solving. In Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, IJCAI-01. IJCAI, 377–383. https://ijcai.org/proceedings/2001/53

@inproceedings{ijcai2001p53,
  title     = {Visual Analogy in Problem Solving},
  author    = {Davies, Jim and Goel, Ashok K.},
  booktitle = {Proceedings of the Seventeenth International Joint Conference on
               Artificial Intelligence, {IJCAI-01}},
  publisher = {International Joint Conferences on Artificial Intelligence},
  pages     = {377--383},
  year      = {2001},
  url       = {https://ijcai.org/proceedings/2001/53},
}

TY  - CPAPER
TI  - Visual Analogy in Problem Solving
AU  - Davies, Jim
AU  - Goel, Ashok K.
T2  - Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, IJCAI-01
PB  - International Joint Conferences on Artificial Intelligence
PY  - 2001
SP  - 377
EP  - 383
UR  - https://ijcai.org/proceedings/2001/53
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