The Size of a Revised Knowledge Base
Summary: Analyzes the minimum representation size of propositional knowledge bases after belief revision. Classifies revision formalisms as compactable or non-compactable—sometimes conditional on PH collapse—and shows query-answering complexity alone does not determine compactability. (summarized by gpt-5.6-luna on Jul 21 2026)
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Authors
- 1. Marco Cadoli (Sapienza University)
- 2. Francesco M. Donini (Sapienza University)
- 3. Paolo Liberatore (Sapienza University)
- 4. Marco Schaerf (Sapienza University)
BibTeX Citation
@inproceedings{cadoli_pods95,
address = {New York, NY, USA},
series = {{PODS} '95},
title = {{The Size of a Revised Knowledge Base}},
url = {https://dl.acm.org/doi/10.1145/212433.220205},
doi = {10.1145/212433.220205},
booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
publisher = {Association for Computing Machinery},
author = {Cadoli, Marco and Donini, Francesco M. and Liberatore, Paolo and Schaerf, Marco},
year = {1995}
}
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 607 | On the Semantics of Updates in Databases | 1983 | PODS | 0.00015791032 |
| 2,518 | On the Complexity of Propositional Knowledge Base Revision, Updates, and Counterfactuals | 1992 | PODS | 8.4545961e-05 |
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