Switch to: References

Citations of:

Robust logics

Artificial Intelligence 117 (2):231-253 (2000)

Add citations

You must login to add citations.
  1. Model theory of measure spaces and probability logic.Rutger Kuyper & Sebastiaan A. Terwijn - 2013 - Review of Symbolic Logic 6 (3):367-393.
    We study the model-theoretic aspects of a probability logic suited for talking about measure spaces. This nonclassical logic has a model theory rather different from that of classical predicate logic. In general, not every satisfiable set of sentences has a countable model, but we show that one can always build a model on the unit interval. Also, the probability logic under consideration is not compact. However, using ultraproducts we can prove a compactness theorem for a certain class of weak models.
    Download  
     
    Export citation  
     
    Bookmark   2 citations  
  • Partial observability and learnability.Loizos Michael - 2010 - Artificial Intelligence 174 (11):639-669.
    Download  
     
    Export citation  
     
    Bookmark  
  • Computational aspects of satisfiability in probability logic.Rutger Kuyper - 2014 - Mathematical Logic Quarterly 60 (6):444-470.
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  • Computability of validity and satisfiability in probability logics over finite and countable models.Greg Yang - 2015 - Journal of Applied Non-Classical Logics 25 (4):324-372.
    The -logic of Terwijn is a variant of first-order logic with the same syntax in which the models are equipped with probability measures and the quantifier is interpreted as ‘there exists a set A of a measure such that for each,...’. Previously, Kuyper and Terwijn proved that the general satisfiability and validity problems for this logic are, i) for rational, respectively -complete and -hard, and ii) for, respectively decidable and -complete. The adjective ‘general’ here means ‘uniformly over all languages’. We (...)
    Download  
     
    Export citation  
     
    Bookmark