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AAAI 1996

First-Order Conditional Logic Revisited

Conference Paper Foundations Artificial Intelligence

Abstract

Conditional Zogics play an important role in recent attempts to investigate default reasoning. This paper investigates firstorder conditional logic. We show that, as for first-order probabilistic logic, it is important not to confound statistical conditionals over the domain (such as “most birds fly”), and subjective conditionals over possible worlds (such as “I believe that lweety is unlikely to fly”). We then address the issue of ascribing semantics to first-order conditional logic. As in the propositional case, there are many possible semantics. To study the problem in a coherent way, we use plausibility structures. These provide us with a general framework in which many of the standard approaches can be embedded. We show that while these standard approaches are all the same at the propositional level, they are significantly different in the context of a first-order language. We show that plausibilities provide the most natural extension of conditional logic to the first-order case: We provide a sound and complete axiomatization that contains only the KLM properties and standard axioms of first-order modal logic. We show that most of the other approaches have additional properties, which result in an inappropriate treatment of an infinitary version of the lottery paradox. ordering 4. If u, + w’, then the world w is strictly more preferred/more normal than w’. The formula Sird+FZy holds if in the most preferred worlds in which Bird holds, FZy also holds. (See Section 2 for more details about this and the other approaches.)

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Context

Venue
AAAI Conference on Artificial Intelligence
Archive span
1980-2026
Indexed papers
28718
Paper id
607514404179728007
v2026.09.13