KR2024Proceedings of the 21st International Conference on Principles of Knowledge Representation and ReasoningProceedings of the 21st International Conference on Principles of Knowledge Representation and Reasoning

Hanoi, Vietnam. November 2-8, 2024.

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ISSN: 2334-1033
ISBN: 978-1-956792-05-8

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Copyright © 2024 International Joint Conferences on Artificial Intelligence Organization

Conditional Splittings of Belief Bases and Nonmonotonic Inference with c-Representations

  1. Christoph Beierle(FernUniversität in Hagen)
  2. Lars-Phillip Spiegel(FernUniversität in Hagen)
  3. Jonas Haldimann(FernUniversität in Hagen, TU Wien, University of Cape Town and CAIR)
  4. Marco Wilhelm(TU Dortmund)
  5. Jesse Heyninck(Open Universiteit, University of Cape Town and CAIR)
  6. Gabriele Kern-Isberner(TU Dortmund)

Keywords

  1. Non-monotonic logics-General

Abstract

The concept of conditional syntax splitting for inductive inference

from conditional belief bases has been proposed as

a generalization of syntax splitting which also covers cases

where the conditionals in the subbases share some atoms.

p-Entailment and system Z fail to satisfy conditional syntax

splitting, and up to now, only two inductive inference

operators, lexicographic inference and system W, have been

shown to satisfy this property. In this paper, we introduce

the concept of conditional semantic splitting. We show that

c-representations satisfy a core postulate relating conditional

splittings on the syntax and the semantic level. Based on these

findings, we investigate conditional syntax splitting for

nonmonotonic inference with c-representations. Regarding single

c-representations, we utilize the concept of selection strategies,

and show that a straightforward property of the selection

strategy leads to inference operators satisfying conditional

syntax splittings. Furthermore, we show that c-inference taking

all c-representations of a belief base into account also

fully complies with conditional syntax splitting.