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Imprecise Uncertain Reasoning: A Distributional Approach
The contribution proposes to model imprecise and uncertain reasoning by a mental probability logic that is based on probability distributions. It shows how distributions are combined with logical operators and how distributions propagate in inference rules. It discusses a series of examples like the...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2018
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6212601/ https://www.ncbi.nlm.nih.gov/pubmed/30416472 http://dx.doi.org/10.3389/fpsyg.2018.02051 |