Virtual evidence transmission algorithm preserving the global consistency property of algebraic Bayesian networks
Keywords:
algebraic Bayesian networks, probabilistic graphical knowledge models, logical and probabilistic inference, consistencyAbstract
In the theory of algebraic Bayesian networks (logical probabilistic graphical models using the form of interval estimations of the probabilistic truth values of propositional formulas for knowledge with uncertainty representation) the notion of consistency contained in the knowledge system has been formalized. This paper analyzes the algorithm for propagation of received evidences from the point of view of preserving consistency in the course of its execution. An improvement of an existing algorithm providing consistency preservation is proposed.References
Published
2013-06-01
How to Cite
Frolenkov, K. (2013). Virtual evidence transmission algorithm preserving the global consistency property of algebraic Bayesian networks. SPIIRAS Proceedings, 3(26), 204-245. https://doi.org/10.15622/sp.26.15
Section
Articles
Authors who publish with this journal agree to the following terms:
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).