Minimal and Absent Information in Contexts
Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence. Pages 558-562.
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.
Floris Roelofsen, and Luciano Serafini. 2005. Minimal and Absent Information in Contexts. In Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05. IJCAI, 558–562. https://ijcai.org/proceedings/2005/124
Roelofsen, F., & Serafini, L. (2005). Minimal and Absent Information in Contexts. In Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05 (pp. 558–562). IJCAI. https://ijcai.org/proceedings/2005/124
@inproceedings{ijcai2005p124,
title = {Minimal and Absent Information in Contexts},
author = {Roelofsen, Floris and Serafini, Luciano},
booktitle = {Proceedings of the Nineteenth International Joint Conference on
Artificial Intelligence, {IJCAI-05}},
publisher = {International Joint Conferences on Artificial Intelligence},
pages = {558--562},
year = {2005},
url = {https://ijcai.org/proceedings/2005/124},
}
TY - CPAPER TI - Minimal and Absent Information in Contexts AU - Roelofsen, Floris AU - Serafini, Luciano T2 - Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05 PB - International Joint Conferences on Artificial Intelligence PY - 2005 SP - 558 EP - 562 UR - https://ijcai.org/proceedings/2005/124 ER -Copied
Machine-readable versions of this paper, for tools and AI agents:
