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| Hauptverfasser: | , |
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| Schlagworte: | |
| Online-Zugang: | https://arxiv.org/abs/2407.06622 |
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| _version_ | 1866910519767597056 |
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| author | de Saint-Cyr, Florence Dupin Lang, Jérôme |
| author_facet | de Saint-Cyr, Florence Dupin Lang, Jérôme |
| contents | Reasoning about unpredicted change consists in explaining observations by events; we propose here an approach for explaining time-stamped observations by surprises, which are simple events consisting in the change of the truth value of a fluent. A framework for dealing with surprises is defined. Minimal sets of surprises are provided together with time intervals where each surprise has occurred, and they are characterized from a model-based diagnosis point of view. Then, a probabilistic approach of surprise minimisation is proposed. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_06622 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Reasoning about unpredicted change and explicit time de Saint-Cyr, Florence Dupin Lang, Jérôme Artificial Intelligence Reasoning about unpredicted change consists in explaining observations by events; we propose here an approach for explaining time-stamped observations by surprises, which are simple events consisting in the change of the truth value of a fluent. A framework for dealing with surprises is defined. Minimal sets of surprises are provided together with time intervals where each surprise has occurred, and they are characterized from a model-based diagnosis point of view. Then, a probabilistic approach of surprise minimisation is proposed. |
| title | Reasoning about unpredicted change and explicit time |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2407.06622 |