Two AGM-style characterizations of model repair (2018)
- Authors:
- Autor USP: WASSERMANN, RENATA - IME
- Unidade: IME
- Subjects: SISTEMAS BASEADOS EM CONHECIMENTO; REVISÃO DE CRENÇAS
- Keywords: Model Repair
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: AAAI Press
- Publisher place: Palo Alto
- Date published: 2018
- Source:
- Título: Proceedings
- ISSN: 2334-1033
- Conference titles: International Conference on Principles of Knowledge Representation and Reasoning - KR
-
ABNT
GUERRA, Paulo T e WASSERMANN, Renata. Two AGM-style characterizations of model repair. 2018, Anais.. Palo Alto: AAAI Press, 2018. Disponível em: https://aaai.org/ocs/index.php/KR/KR18/paper/view/18042. Acesso em: 02 mar. 2026. -
APA
Guerra, P. T., & Wassermann, R. (2018). Two AGM-style characterizations of model repair. In Proceedings. Palo Alto: AAAI Press. Recuperado de https://aaai.org/ocs/index.php/KR/KR18/paper/view/18042 -
NLM
Guerra PT, Wassermann R. Two AGM-style characterizations of model repair [Internet]. Proceedings. 2018 ;[citado 2026 mar. 02 ] Available from: https://aaai.org/ocs/index.php/KR/KR18/paper/view/18042 -
Vancouver
Guerra PT, Wassermann R. Two AGM-style characterizations of model repair [Internet]. Proceedings. 2018 ;[citado 2026 mar. 02 ] Available from: https://aaai.org/ocs/index.php/KR/KR18/paper/view/18042 - Horn clause contraction functions: belief set and belief base approaches
- Belief revision and computer science
- Hyperintensional models and belief change
- Merging ontologies via kernel contraction
- On the link between partial meet, kernel, and infra contraction and its application to Horn logic
- Local diagnosis
- Approximate belief revision
- Generalized change and the meaning of rationality postulates
- Full acceptance via argumentation
- A contraction core for Horn belief change: preliminary report
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
| 2968108.pdf |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
