Combinatorial semantics:
Abstract: "In ordinary first order logic, a valid inference in a language L is one in which the conclusion is true in every model of the language in which the premises are true. To accommodate inductive/uncertain/probabilistic nonmonotonic inference, we weaken that demand to the demand that the...
Saved in:
| Main Author: | |
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| Format: | Book |
| Language: | English |
| Published: |
Rochester, NY
1995
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| Series: | University of Rochester <Rochester, NY> / Department of Computer Science: Technical report
563 |
| Subjects: | |
| Summary: | Abstract: "In ordinary first order logic, a valid inference in a language L is one in which the conclusion is true in every model of the language in which the premises are true. To accommodate inductive/uncertain/probabilistic nonmonotonic inference, we weaken that demand to the demand that the conclusion be true in a large proportion of the models in which the relevant premises are true. More generally, we say that an inference is [p, q] valid if its conclusion is true in a proportion lying between p and q of those models in which the relevant premises are true. If we include a statistical variable binding operator '%' in our language, there are many quite general (and useful) things we can say about uncertain validity. A surprising result is that some of these things may conflict with Bayesian Conditionalization." |
| Physical Description: | 58 S. graph. Darst. |
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| 490 | 1 | |a University of Rochester <Rochester, NY> / Department of Computer Science: Technical report |v 563 | |
| 520 | 3 | |a Abstract: "In ordinary first order logic, a valid inference in a language L is one in which the conclusion is true in every model of the language in which the premises are true. To accommodate inductive/uncertain/probabilistic nonmonotonic inference, we weaken that demand to the demand that the conclusion be true in a large proportion of the models in which the relevant premises are true. More generally, we say that an inference is [p, q] valid if its conclusion is true in a proportion lying between p and q of those models in which the relevant premises are true. If we include a statistical variable binding operator '%' in our language, there are many quite general (and useful) things we can say about uncertain validity. A surprising result is that some of these things may conflict with Bayesian Conditionalization." | |
| 650 | 4 | |a Formal languages |x Semantics | |
| 650 | 4 | |a Logic | |
| 650 | 4 | |a Semantics (Philosophy) | |
| 650 | 4 | |a Uncertainty | |
| 810 | 2 | |a Department of Computer Science: Technical report |t University of Rochester <Rochester, NY> |v 563 |w (DE-604)BV008902697 |9 563 | |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-006910291 | |
Record in the Search Index
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| illustrated | Illustrated |
| indexdate | 2025-02-13T11:01:41Z |
| institution | BVB |
| language | English |
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| oclc_num | 37856802 |
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| owner_facet | DE-29T |
| physical | 58 S. graph. Darst. |
| publishDate | 1995 |
| publishDateSearch | 1995 |
| publishDateSort | 1995 |
| record_format | marc |
| series2 | University of Rochester <Rochester, NY> / Department of Computer Science: Technical report |
| spelling | Kyburg, Henry Ely 1928-2007 Verfasser (DE-588)128490950 aut Combinatorial semantics Henry E. Kyburg Rochester, NY 1995 58 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier University of Rochester <Rochester, NY> / Department of Computer Science: Technical report 563 Abstract: "In ordinary first order logic, a valid inference in a language L is one in which the conclusion is true in every model of the language in which the premises are true. To accommodate inductive/uncertain/probabilistic nonmonotonic inference, we weaken that demand to the demand that the conclusion be true in a large proportion of the models in which the relevant premises are true. More generally, we say that an inference is [p, q] valid if its conclusion is true in a proportion lying between p and q of those models in which the relevant premises are true. If we include a statistical variable binding operator '%' in our language, there are many quite general (and useful) things we can say about uncertain validity. A surprising result is that some of these things may conflict with Bayesian Conditionalization." Formal languages Semantics Logic Semantics (Philosophy) Uncertainty Department of Computer Science: Technical report University of Rochester <Rochester, NY> 563 (DE-604)BV008902697 563 |
| spellingShingle | Kyburg, Henry Ely 1928-2007 Combinatorial semantics Formal languages Semantics Logic Semantics (Philosophy) Uncertainty |
| title | Combinatorial semantics |
| title_auth | Combinatorial semantics |
| title_exact_search | Combinatorial semantics |
| title_full | Combinatorial semantics Henry E. Kyburg |
| title_fullStr | Combinatorial semantics Henry E. Kyburg |
| title_full_unstemmed | Combinatorial semantics Henry E. Kyburg |
| title_short | Combinatorial semantics |
| title_sort | combinatorial semantics |
| topic | Formal languages Semantics Logic Semantics (Philosophy) Uncertainty |
| topic_facet | Formal languages Semantics Logic Semantics (Philosophy) Uncertainty |
| volume_link | (DE-604)BV008902697 |
| work_keys_str_mv | AT kyburghenryely combinatorialsemantics |