Information flow under budget constraints
Information flow under budget constraints
Although first proposed in the database theory as properties of functional dependencies between attributes, Armstrong's axioms capture general principles of information flow by describing properties of dependencies between sets of pieces of information. This article generalizes Armstrong's axioms to a setting in which there is a cost associated with information. The proposed logical system captures general principles of dependencies between pieces of information constrained by a given budget.
Armstrong's axioms, Axiomatization, Budget constraints, Completeness
Naumov, Pavel
8b6c40fb-b199-44d5-a8e2-0ebd021566b0
Tao, Jia
008c0748-696c-4069-a351-551d311e8056
8 December 2017
Naumov, Pavel
8b6c40fb-b199-44d5-a8e2-0ebd021566b0
Tao, Jia
008c0748-696c-4069-a351-551d311e8056
Naumov, Pavel and Tao, Jia
(2017)
Information flow under budget constraints.
ACM Transactions on Computational Logic, 18 (4), [32].
(doi:10.1145/3152768).
Abstract
Although first proposed in the database theory as properties of functional dependencies between attributes, Armstrong's axioms capture general principles of information flow by describing properties of dependencies between sets of pieces of information. This article generalizes Armstrong's axioms to a setting in which there is a cost associated with information. The proposed logical system captures general principles of dependencies between pieces of information constrained by a given budget.
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Published date: 8 December 2017
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© 2017 ACM.
Keywords:
Armstrong's axioms, Axiomatization, Budget constraints, Completeness
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Local EPrints ID: 481058
URI: http://eprints.soton.ac.uk/id/eprint/481058
ISSN: 1529-3785
PURE UUID: 6604838d-d64a-45f7-a23c-a79b492e285a
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Date deposited: 15 Aug 2023 16:43
Last modified: 06 Jun 2024 02:12
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Author:
Pavel Naumov
Author:
Jia Tao
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