Abstract-- This paper presents a novel framework for integrating fundamental tasks in robotic navigation through a statistical inference procedure. A probabilistic model that joint...
Model-based diagnosis is the field of research concerned with the problem of finding faults ms by reasoning with abstract models of the systems. Typically, such models offer a ...
Abstract--This paper is focusing on exact Bayesian reasoning in systems of agents, which represent weakly coupled processing modules supporting collaborative inference through mess...
An increasing number of planners can handle uncertainty in the domain or in action outcomes. However, less work has addressed building plans when the planner's world can chan...
We study the problem of probabilistic deduction with conditional constraints over basic events. We show that globallycomplete probabilistic deduction with conditional constraints ...