Similarity-based analogical proportions
Fuente:
arXiv
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866911785764782080 |
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| author | Antić, Christian |
| author_facet | Antić, Christian |
| contents | The author has recently introduced abstract algebraic frameworks of analogical proportions and similarity within the general setting of universal algebra. The purpose of this paper is to build a bridge from similarity to analogical proportions by formulating the latter in terms of the former. The benefit of this similarity-based approach is that the connection between proportions and similarity is built into the framework and therefore evident which is appealing since proportions and similarity are both at the center of analogy; moreover, future results on similarity can directly be applied to analogical proportions. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_18360 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Similarity-based analogical proportions Antić, Christian Logic in Computer Science Artificial Intelligence Logic The author has recently introduced abstract algebraic frameworks of analogical proportions and similarity within the general setting of universal algebra. The purpose of this paper is to build a bridge from similarity to analogical proportions by formulating the latter in terms of the former. The benefit of this similarity-based approach is that the connection between proportions and similarity is built into the framework and therefore evident which is appealing since proportions and similarity are both at the center of analogy; moreover, future results on similarity can directly be applied to analogical proportions. |
| title | Similarity-based analogical proportions |
| topic | Logic in Computer Science Artificial Intelligence Logic |
| url | https://arxiv.org/abs/2402.18360 |