We consider reconstruction algorithms using points tracked over a sequence of (at least three) images, to estimate the positions of the cameras (motion parameters), the 3D coordin...
An important step in designing stochastic simulation is modeling the uncertainty in the input environment of the system being studied. Obtaining a reasonable representation of thi...
We present a framework that enables a belief-desire-intention (BDI) agent to dynamically choose its intention reconsideration policy in order to perform optimally in accordance wi...
These lecture notes cover several topics such as Preliminaries on Modern Economics and Mathematics, Consumer Theory, Production Theory, Choice Under Uncertainty, Game Theory, Theor...
The Brain is a slow computer yet humans can skillfully play games such as tennis where very fast reactions are required. Of particular interest is the evidence for strategic thinki...