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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.08684 |
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| _version_ | 1866929589685583872 |
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| author | Goldowsky, Howard Sarathy, Vasanth |
| author_facet | Goldowsky, Howard Sarathy, Vasanth |
| contents | We propose an approach to analogical inference that marries the neuro-symbolic computational power of complex-sampled hyperdimensional computing (HDC) with Conceptual Spaces Theory (CST), a promising theory of semantic meaning. CST sketches, at an abstract level, approaches to analogical inference that go beyond the standard predicate-based structure mapping theories. But it does not describe how such an approach can be operationalized. We propose a concrete HDC-based architecture that computes several types of analogy classified by CST. We present preliminary proof-of-concept experimental results within a toy domain and describe how it can perform category-based and property-based analogical reasoning. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_08684 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Analogical Reasoning Within a Conceptual Hyperspace Goldowsky, Howard Sarathy, Vasanth Artificial Intelligence We propose an approach to analogical inference that marries the neuro-symbolic computational power of complex-sampled hyperdimensional computing (HDC) with Conceptual Spaces Theory (CST), a promising theory of semantic meaning. CST sketches, at an abstract level, approaches to analogical inference that go beyond the standard predicate-based structure mapping theories. But it does not describe how such an approach can be operationalized. We propose a concrete HDC-based architecture that computes several types of analogy classified by CST. We present preliminary proof-of-concept experimental results within a toy domain and describe how it can perform category-based and property-based analogical reasoning. |
| title | Analogical Reasoning Within a Conceptual Hyperspace |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2411.08684 |