Minimal and absent information in contexts

Minimal and absent information in contexts. Roelofsen, F., Serafini, L., & others In International Joint Conference on Artificial Intelligence (IJCAI 05), volume 5, pages 558–563, 2005.

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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.

@inproceedings{RoelofsenSerafini:05,
	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.},
	author = {Roelofsen, Floris and Serafini, Luciano and others},
	booktitle = {International Joint Conference on Artificial Intelligence (IJCAI 05)},
	date-added = {2019-05-09 08:57:33 +0200},
	date-modified = {2019-05-09 09:03:03 +0200},
	keywords = {artificial intelligence,logic},
	pages = {558--563},
	title = {Minimal and absent information in contexts},
	url = {https://www.ijcai.org/Proceedings/05/Papers/1045.pdf},
	volume = {5},
	year = {2005},
	Bdsk-Url-1 = {https://www.ijcai.org/Proceedings/05/Papers/1045.pdf}}

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