Formalizing Embeddedness Failures in Universal Artificial Intelligence
Fuente:
arXiv
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| Autores principales: | , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Acceso en línea: | |
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| _version_ | 1866918032094265344 |
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| author | Wyeth, Cole Hutter, Marcus |
| author_facet | Wyeth, Cole Hutter, Marcus |
| contents | We rigorously discuss the commonly asserted failures of the AIXI reinforcement learning agent as a model of embedded agency. We attempt to formalize these failure modes and prove that they occur within the framework of universal artificial intelligence, focusing on a variant of AIXI that models the joint action/percept history as drawn from the universal distribution. We also evaluate the progress that has been made towards a successful theory of embedded agency based on variants of the AIXI agent. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2505_17882 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Formalizing Embeddedness Failures in Universal Artificial Intelligence Wyeth, Cole Hutter, Marcus Artificial Intelligence We rigorously discuss the commonly asserted failures of the AIXI reinforcement learning agent as a model of embedded agency. We attempt to formalize these failure modes and prove that they occur within the framework of universal artificial intelligence, focusing on a variant of AIXI that models the joint action/percept history as drawn from the universal distribution. We also evaluate the progress that has been made towards a successful theory of embedded agency based on variants of the AIXI agent. |
| title | Formalizing Embeddedness Failures in Universal Artificial Intelligence |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2505.17882 |