A propositional probabilistic logic with discrete linear time for reasoning about evidence
The aim of the paper is to present a sound, strongly complete and decidable probabilistic temporal logic that can model reasoning about evidence. The formal system developed here is actually a solution of a problem proposed by Halpern and Pucella (J Artif Intell Res 26:1–34, 2006 ).
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| Veröffentlicht in: | Annals of mathematics and artificial intelligence 2012-07, Vol.65 (2-3), p.217-243 |
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| container_end_page | 243 |
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| container_issue | 2-3 |
| container_start_page | 217 |
| container_title | Annals of mathematics and artificial intelligence |
| container_volume | 65 |
| creator | Ognjanović, Zoran Marković, Zoran Rašković, Miodrag Doder, Dragan Perović, Aleksandar |
| description | The aim of the paper is to present a sound, strongly complete and decidable probabilistic temporal logic that can model reasoning about evidence. The formal system developed here is actually a solution of a problem proposed by Halpern and Pucella (J Artif Intell Res 26:1–34,
2006
). |
| doi_str_mv | 10.1007/s10472-012-9307-9 |
| format | Article |
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| ispartof | Annals of mathematics and artificial intelligence, 2012-07, Vol.65 (2-3), p.217-243 |
| issn | 1012-2443 1573-7470 |
| language | eng |
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| source | SpringerNature Journals; ProQuest Central UK/Ireland; ProQuest Central |
| subjects | Artificial Intelligence Complex Systems Computer Science Mathematics Reasoning Temporal logic |
| title | A propositional probabilistic logic with discrete linear time for reasoning about evidence |
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