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| Format: | Preprint |
| Veröffentlicht: |
2024
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| Schlagworte: | |
| Online-Zugang: | https://arxiv.org/abs/2404.17725 |
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| _version_ | 1866917652211957760 |
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| author | Lerner, Osher |
| author_facet | Lerner, Osher |
| contents | This paper expands on existing learned models of human behavior via a measured step in structured irrationality. Specifically, by replacing the suboptimality constant $β$ in a Boltzmann rationality model with a function over states $β(s)$, we gain natural expressivity in a computationally tractable manner. This paper discusses relevant mathematical theory, sets up several experimental designs, presents limited preliminary results, and proposes future investigations. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_17725 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Boltzmann State-Dependent Rationality Lerner, Osher Artificial Intelligence Robotics This paper expands on existing learned models of human behavior via a measured step in structured irrationality. Specifically, by replacing the suboptimality constant $β$ in a Boltzmann rationality model with a function over states $β(s)$, we gain natural expressivity in a computationally tractable manner. This paper discusses relevant mathematical theory, sets up several experimental designs, presents limited preliminary results, and proposes future investigations. |
| title | Boltzmann State-Dependent Rationality |
| topic | Artificial Intelligence Robotics |
| url | https://arxiv.org/abs/2404.17725 |