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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | John Harding | en_US |
| dc.contributor.author | Hung Nguyen | en_US |
| dc.date.accessioned | 2022-05-27T08:29:36Z | - |
| dc.date.available | 2022-05-27T08:29:36Z | - |
| dc.date.issued | 2022-01-01 | en_US |
| dc.identifier.issn | 18609503 | en_US |
| dc.identifier.issn | 1860949X | en_US |
| dc.identifier.other | 2-s2.0-85113357764 | en_US |
| dc.identifier.other | 10.1007/978-3-030-77094-5_5 | en_US |
| dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85113357764&origin=inward | en_US |
| dc.identifier.uri | http://cmuir.cmu.ac.th/jspui/handle/6653943832/72789 | - |
| dc.description.abstract | In the context of quantum probability models for causal reasoning in economics, we discuss the mathematics surrounding classical conditional probability and its quantum counterpart for commuting events as given by Lüders rule. While there are many issues in terms of meaning and interpretation in both the classical and quantum setting, there is a transparent connection between the mathematics involved in the two settings. | en_US |
| dc.subject | Computer Science | en_US |
| dc.title | Lüders Rule and Conditional Probability for Commuting Events | en_US |
| dc.type | Book Series | en_US |
| article.title.sourcetitle | Studies in Computational Intelligence | en_US |
| article.volume | 983 | en_US |
| article.stream.affiliations | New Mexico State University | en_US |
| article.stream.affiliations | Chiang Mai University | en_US |
| Appears in Collections: | CMUL: Journal Articles | |
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