Gated Bayesian Networks
2013 (English)In: TWELFTH SCANDINAVIAN CONFERENCE ON ARTIFICIAL INTELLIGENCE (SCAI 2013), Amsterdam: IOS Press, 2013, 35-44 p.Conference paper (Refereed)
This paper introduces a new probabilistic graphical model called gated Bayesian network (GBN). This model evolved from the need to represent real world processes that include several distinct phases. In essence a GBN is a model that combines several Bayesian networks (BN) in such a manner that they may be active or inactive during queries to the model. We use objects called gates to combine BNs, and to activate and deactivate them when predefined logical statements are satisfied. These statements are based on combinations of posterior probabilities of the variables in the BNs. Although GBN is a new formalism there are features of GBNs that are similar to other formalisms and research, including influence diagrams, context-specific independence and structural adaptation.
Place, publisher, year, edition, pages
Amsterdam: IOS Press, 2013. 35-44 p.
, Frontiers in Artificial Intelligence and Applications, ISSN 0922-6389 ; 257
Probabilistic graphical models; Bayesian networks; influence diagrams; decision support; dynamic
IdentifiersURN: urn:nbn:se:liu:diva-98069DOI: 10.3233/978-1-61499-330-8-35ISI: 000343477100005ISBN: 978-1-61499-329-2OAI: oai:DiVA.org:liu-98069DiVA: diva2:651937
12th Scandinavian Conference on Artificial Intelligence (SCAI 2013), 20-22 November 2013, Aalborg, Denmark