Stratified Evidence Logics
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence. Main track. Pages 1523-1529.
https://doi.org/10.24963/ijcai.2019/211
Keywords
- Knowledge Representation and Reasoning: Logics for Knowledge Representation
- Knowledge Representation and Reasoning: Non-classical Logics for Knowledge Representation
- Knowledge Representation and Reasoning: Reasoning about Knowlege and Belief
Abstract
Evidence logics model agents' belief revision process as they incorporate and aggregate information obtained from multiple sources.
This information is captured using neighbourhood structures, where individual neighbourhoods represent pieces of evidence.
In this paper we propose an extended framework which allows one to explicitly quantify either the number of evidence sets, or effort, needed to justify a given proposition, provide a complete deductive calculus and a proof of decidability, and show how existing frameworks can be embedded into ours.
@inproceedings{ijcai2019p211,
title = {Stratified Evidence Logics},
author = {Balbiani, Philippe and Fernández-Duque, David and Herzig, Andreas and Lorini, Emiliano},
booktitle = {Proceedings of the Twenty-Eighth International Joint Conference on
Artificial Intelligence, {IJCAI-19}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Sarit Kraus},
pages = {1523--1529},
year = {2019},
month = {8},
note = {Main track},
doi = {10.24963/ijcai.2019/211},
url = {https://doi.org/10.24963/ijcai.2019/211},
}
TY - CPAPER TI - Stratified Evidence Logics AU - Balbiani, Philippe AU - Fernández-Duque, David AU - Herzig, Andreas AU - Lorini, Emiliano T2 - Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI-19 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2019 SP - 1523 EP - 1529 DO - 10.24963/ijcai.2019/211 UR - https://doi.org/10.24963/ijcai.2019/211 ER -Copied
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