no code implementations • 6 Jun 2018 • Cheol Young Park, Kathryn Blackmond Laskey
MEBN can be a formal representation to support PSAW and has been used for several PSAW systems.
no code implementations • 6 Jun 2018 • Cheol Young Park, Kathryn Blackmond Laskey
Developing a MEBN model from data stored in an RDB therefore requires mapping between the two formalisms.
no code implementations • 6 Jun 2018 • Cheol Young Park, Kathryn Blackmond Laskey
MEBN goes beyond standard Bayesian networks to enable reasoning about an unknown number of entities interacting with each other in various types of relationships, a key requirement for the OODA process of an AI system.
no code implementations • 6 Jun 2018 • Cheol Young Park, Kathryn Blackmond Laskey, Paulo C. G. Costa, Shou Matsumoto
The trade-off algorithm performs pre-processing to find optimal run-time settings for the extended algorithm.
no code implementations • 27 Mar 2013 • Kathryn Blackmond Laskey, Marvin S. Cohen
Current approaches to expert systems' reasoning under uncertainty fail to capture the iterative revision process characteristic of intelligent human reasoning.
no code implementations • 27 Mar 2013 • Kathryn Blackmond Laskey
A framework is presented for a computational theory of probabilistic argument.
no code implementations • 27 Mar 2013 • Kathryn Blackmond Laskey
In the canonical examples underlying Shafer-Dempster theory, beliefs over the hypotheses of interest are derived from a probability model for a set of auxiliary hypotheses.
no code implementations • 27 Mar 2013 • Paul K. Black, Kathryn Blackmond Laskey
It is demonstrated by example that different joint belief functions may be consistent with a given set of rules.