Online social media have democratized the broadcasting of information, encouraging users
to view the world through the lens of social networks. The exploitation of this lens, termed …

Classical probability is not the only mathematical theory of uncertainty, or the most general.
Many authors have argued that probability theory is ill-equipped to model the 'epistemic' …

Subjective logic is a formalism for reasoning under uncertain probabilistic information, with
an explicit treatment of the uncertainty about the probability distributions. We introduce …

Second-order Bayesian networks extend Bayesian networks by incorporating uncertainty in
the conditional probabilities. This paper develops a method for inference in a binary second …

Subjective Bayesian networks extend Bayesian networks by incorporating uncertainty in the
conditional probabilities. This paper develops subjective belief propagation (SBP) that …

In this paper we present a methodology to exploit human-machine coalitions for situational
understanding. Situational understanding refers to the ability to relate relevant information …

The state-of-the-art of random finite set (RFS) based approaches for multi-sensor multi-
object setups solve the classification and track estimation jointly in a Bayesian style. This is …

This work expands the concept of conditional reasoning in subjective logic between two
variables to reasoning over multiple variables as a step to eventually realize efficient means …

Humans or intelligent software agents are increasingly faced with the challenge of making
decisions based on large volumes of streaming information from diverse sources. Decision …

This work analyzes the impact of correlated propositions when estimating the reporting
behavior of information sources. These behavior estimates are critical for fusion, and …