Partially observable Markov decision processes (POMDPs) have been largely accepted as a rich-framework for planning and control problems. In settings where multiple agents interact POMDPs prove to be inadequate. The interactive partially observable Markov decision process (I-POMDP) is a new paradigm that extends POMDPs to multiagent settings. The added complexity of this model due to the modeli...

The "visual motion" problem consists of estimating the motion of an object viewed under projection. In this paper we address the feasibility of such a problem. We will show that the model which defines the visual motion problem for feature points in the euclidean 3D space lacks of both linear and local (weak) observability. The locally observable manifold is covered with three levels of lie dif...

Aoristic data can be described by a marked point process in time which the points cannot observed directly but are known to lie observable intervals, marks. We consider Bayesian state estimation for latent when marks modeled terms of an alternating renewal equilibrium and prior is Markov process. derive posterior distribution, estimate its parameters present some examples that illustrate influe...