System 2 Reasoning Capabilities Are Nigh
Fuente:
arXiv
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866909371556954112 |
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| author | Lowe, Scott C. |
| author_facet | Lowe, Scott C. |
| contents | In recent years, machine learning models have made strides towards human-like reasoning capabilities from several directions. In this work, we review the current state of the literature and describe the remaining steps to achieve a neural model which can perform System~2 reasoning analogous to a human. We argue that if current models are insufficient to be classed as performing reasoning, there remains very little additional progress needed to attain that goal. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_03662 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | System 2 Reasoning Capabilities Are Nigh Lowe, Scott C. Artificial Intelligence Machine Learning In recent years, machine learning models have made strides towards human-like reasoning capabilities from several directions. In this work, we review the current state of the literature and describe the remaining steps to achieve a neural model which can perform System~2 reasoning analogous to a human. We argue that if current models are insufficient to be classed as performing reasoning, there remains very little additional progress needed to attain that goal. |
| title | System 2 Reasoning Capabilities Are Nigh |
| topic | Artificial Intelligence Machine Learning |
| url | https://arxiv.org/abs/2410.03662 |