The analogical mind.
Abstract
The use of analogy in human thinking is examined from the perspective of a multiconstraint theory, which postulates 3 basic types of constraints: similarity, structure, and purpose. The operation of these constraints is apparent in laboratory experiments on analogy and in naturalistic settings, including politics, psychotherapy, and scientific research. The multiconstraint theory has been implemented in detailed computational simulations of the analogical human mind.
Cites (1)
- Development of Analogical Problem-Solving SkillHolyoak, Keith J., Junn, Ellen N., Billman, Dorrit O. · 1984 · Child Development
Cited by (8)
- Continual lifelong learning with neural networks: A reviewParisi, German I., Kemker, Ronald, Part, Jose L., Kanan, Christopher, Wermter, Stefan · 2019 · Neural Networks
- Neuroscience-Inspired Artificial IntelligenceHassabis, Demis, Kumaran, Dharshan, Summerfield, Christopher, Botvinick, Matthew · 2017 · Neuron
- Darwin's mistake: Explaining the discontinuity between human and nonhuman mindsPenn, Derek C., Holyoak, Keith J., Povinelli, Daniel J. · 2008 · Behavioral and Brain Sciences
- The origin of mind: Evolution of brain, cognition, and general intelligence.Geary, David C. · 2005
- Toward an Instructionally Oriented Theory of Example‐Based LearningRenkl, Alexander · 2014 · Cognitive Science
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The analogical mind. https://app.cochat.ai/papers/10.1037//0003-066x.52.1.35
- The paper
- Holyoak, K. J., & Thagard, P. (1997). The analogical mind. American Psychologist. https://doi.org/10.1037//0003-066x.52.1.35
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.