When we learn a new motor skill, we have to contend with both the variability inherent in our sensors and the task. The sensory uncertainty can be reduced by using information abo...
This paper describes a novel semantic framework for an agent architecture. Drawing on Shoham's work on AGENT0 (Shoham 1993), we replace Shoham's modal logic semantics wi...
There is an obvious need for improving the performance and accuracy of a Bayesian network as new data is observed. Because of errors in model construction and changes in the dynam...
We present a method for specifying temporal constraints on trajectories of dynamical systems and enforcing them during qualitative simulation. This capability can be used to focus...
Aggregating and presenting a wide variety of information pertinent to the biological and pharmacological effects of chemical compounds will be a critical part of 21st century drug ...
Sashikiran Challa, David J. Wild, Ying Ding, Qian ...