Managed Multi-Context Systems
Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 786-790.
Abstract
Multi-context systems (MCS) are a powerful framework for interlinking heterogeneous knowledge sources. They model the flow of information among different reasoning components (called contexts) in a declarative way, using so-called bridge rules, where contexts and bridge rules may be nonmonotonic. We considerably generalize MCS to managed MCS (mMCS): while the original bridge rules can only add information to contexts, our generalization allows arbitrary operations on context knowledge bases to be freely defined, e.g., deletion or revision operators. The paper motivates and introduces the generalized framework and presents several interesting instances. Furthermore, we consider inconsistency management in mMCS and complexity issues.
@inproceedings{ijcai2011p138,
title = {Managed Multi-Context Systems},
author = {Brewka, Gerhard and Eiter, Thomas and Fink, Michael and Weinzierl, Antonius},
booktitle = {Proceedings of the Twenty-Second International Joint Conference on
Artificial Intelligence, {IJCAI-11}},
publisher = {AAAI Press/International Joint Conferences on Artificial Intelligence},
editor = {Toby Walsh},
pages = {786--790},
year = {2011},
month = {7},
doi = {10.5591/978-1-57735-516-8/IJCAI11-138},
url = {https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-138},
}
TY - CPAPER TI - Managed Multi-Context Systems AU - Brewka, Gerhard AU - Eiter, Thomas AU - Fink, Michael AU - Weinzierl, Antonius T2 - Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11 PB - AAAI Press/International Joint Conferences on Artificial Intelligence PY - 2011 SP - 786 EP - 790 DO - 10.5591/978-1-57735-516-8/IJCAI11-138 UR - https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-138 ER -Copied
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