mlsanityData to 14 Oct 2026

Analogical proportions II

arXiv 2405.13461 ↗First posted 22 May 2024cs.LO cs.AI cs.DMcited by 1

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Abstract (arXiv)

Analogical reasoning is the ability to detect parallels between two seemingly distant objects or situations, a fundamental human capacity used for example in commonsense reasoning, learning, and creativity which is believed by many researchers to be at the core of human and artificial general intelligence. Analogical proportions are expressions of the form ``a is to b what c is to d'' at the core of analogical reasoning. The author has recently introduced an abstract algebraic framework of analogical proportions within the general setting of universal algebra. It is the purpose of this paper to further develop the mathematical theory of analogical proportions within that framework as motivated by the fact that it has already been successfully applied to logic program synthesis in artificial intelligence.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 4 of its 45 references that are in the map. First posted on arXiv 22 May 2024.

Builds on

4 of 45 references.

References · 4

  1. 2020Analogical proportionscited by 13
  2. 2018Logic program proportionscited by 12
  3. 2022Galois theory for analogical classifierscited by 6
  4. 2022Proportoidscited by 4

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Citing papers per year: 2024: 1.

1 paper.

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  1. 2023Bilingual analogical proportions via hedges
  2. 2022Understanding Narratives through Dimensions of Analogy
  3. 2022Emergent Analogical Reasoning in Large Language Models
  4. 2025Generalizing Analogical Inference from Boolean to Continuous Domains
  5. 2023In-Context Analogical Reasoning with Pre-Trained Language Models
  6. 2026Emergent Analogical Reasoning in Transformers
  7. 2026Proportional Analogies on Probability Distributions via Bayesian Updating
  8. 2024Using Counterfactual Tasks to Evaluate the Generality of Analogical Reasoning in Large Language Models