Reasoning with system W and infeasible worlds
Abstract System W is an inference method for conditional belief bases with some notable properties like capturing system Z while, in contrast to system Z, avoiding the drowning problem . This paper further investigates the properties of system W. We show how system W behaves with respect to postulates put forward for inference relations. We develop postulates ensuring compliance with syntax splitting for inference operators based on a full strict partial order on worlds. By observing that system W satisfies these axioms, it is proven that system W satisfies syntax splitting. We also explore how syntax splitting affects the strict partial order underlying system W and exploit this for answering certain types of queries without having to determine this strict partial order completely. However, the original definition of system W and the results above only consider inference from belief bases satisfying a strong notion of consistency. In the second part of this paper, we lift this limitation and extend system W to also cover inference from belief bases that only satisfy a weaker notion of consistency. We investigate the properties of the such extended system W. Especially, it is shown that extended system W complies with syntax splitting and retains the desireable properties of system W. Furthermore, we give an overview of the relations of extended system W to other inductive inference operators.
Authors
- Christoph Beierle (ORCID: https://orcid.org/0000-0002-0736-8516)
- Gabriele Kern-Isberner (ORCID: https://orcid.org/0000-0001-8689-5391)
- Jonas Haldimann (ORCID: https://orcid.org/0000-0002-2618-8721)
- Thomas Meyer (ORCID: https://orcid.org/0000-0003-2204-6969)
Institutions
- FernUniversität in Hagen (DE)
- TU Wien (AT)
- University of Cape Town (ZA)
- TU Dortmund University (DE)
Publication Details
- Journal
- Annals of Mathematics and Artificial Intelligence
- Published
- 2025-05-14
- DOI
- https://doi.org/10.1007/s10472-025-09982-w
- Citations
- 1
- Primary Topic
- Logic, Reasoning, and Knowledge
- Type
- article
- Field-Weighted Citation Impact
- 2.48
Funders
- Deutsche Forschungsgemeinschaft
- University of Cape Town