Relational Probabilistic Conditionals and Their Instantiations under Maximum Entropy Semantics for First-Order Knowledge Bases

Relational Probabilistic Conditionals and Their Instantiations under Maximum Entropy Semantics for First-Order Knowledge Bases

For conditional probabilistic knowledge bases with conditionals based on propositional logic, the principle of maximum entropy (ME) is well-established, determining a unique model inductively completing the explicitly given knowledge. On the other hand, there is no general agreement on how to extend...

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Bibliografische gegevens
Hoofdauteurs: Christoph Beierle, Marc Finthammer, Gabriele Kern-Isberner
Formaat: Artikel
Taal:English
Gepubliceerd in: MDPI AG 2015-02-01
Reeks:Entropy
Onderwerpen:
conditional logic
probabilistic logic
maximum entropy
relational conditional
first-order knowledge base
instantiation restriction
grounding semantics
aggregating semantics
parametric uniformity
maximum entropy model
Online toegang:http://www.mdpi.com/1099-4300/17/2/852

Internet

http://www.mdpi.com/1099-4300/17/2/852

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