Probability as an Alternative to Boolean Logic While logic is the mathematical foundation of
rational reasoning and the fundamental principle of computing, it is restricted to problems …

The ecological sciences have benefited greatly from recent advances in wireless sensor
technologies. These technologies allow researchers to deploy networks of automated …

We introduce a new dynamic model with the capability of recognizing both activities that an
individual is performing as well as where that ndividual is located. Our model is novel in that …

▪ Abstract One way to understand cells and circumscribe the function of proteins is through
molecular networks. These networks take a variety of forms including webs of protein-protein …

Bayesian logic programs tightly integrate definite logic programs with Bayesian networks in
order to incorporate the notions of objects and relations into Bayesian networks. They …

Many real-world tasks require multiple decision makers (agents) to coordinate their actions
in order to achieve common long-term goals. Examples include: manufacturing systems …

This paper explores the fusion of audio and visual evidences through a multi-level hybrid
fusion architecture based on dynamic Bayesian network (DBN), which combines model level …

St. A E. SA etal improves. This approach enables construction of a decision 5,949.67 s A 9,
1999 Wold et al. graph having a model structure that includes a plurality of 6. 135. 105 A 9 …

Graphical models provide a promising paradigm to study both existing and novel techniques
for automatic speech recognition. This paper first provides a brief overview of graphical …

Intention recognition is the process of becoming aware of the intentions of other agents,
inferring them through observed actions or effects on the environment. Intention recognition …