Minimal and Absent Information in Contexts
Abstract
Multi-context systems (MCS) represent contextual information flow. We show that the semantics of an MCS is completely determined by the information that is obtained when simulating the MCS, in such a way that a minimal amount of information is deduced at each step of the simulation. In MCS, the acquisition of new information is based on the presence of other information only. We give a generalized account to model situations in which information can be obtained as a result of the absence of other information as well. 1
Cite
Text
Roelofsen and Serafini. "Minimal and Absent Information in Contexts." International Joint Conference on Artificial Intelligence, 2005.Markdown
[Roelofsen and Serafini. "Minimal and Absent Information in Contexts." International Joint Conference on Artificial Intelligence, 2005.](https://mlanthology.org/ijcai/2005/roelofsen2005ijcai-minimal/)BibTeX
@inproceedings{roelofsen2005ijcai-minimal,
title = {{Minimal and Absent Information in Contexts}},
author = {Roelofsen, Floris and Serafini, Luciano},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2005},
pages = {558-563},
url = {https://mlanthology.org/ijcai/2005/roelofsen2005ijcai-minimal/}
}