: We introduce a class of quasi-linear models for stochastic dynamics, called moment-linear stochastic systems (MLSS). We formulate MLSS and analyze their dynamics, as well as disc...
Sandip Roy, George C. Verghese, Bernard C. Lesieut...
We present an Information Customization framework, which offers a unique hybrid of Adaptive Hypermedia and Constraint Satisfaction methods. IC is being modelled as a constraint sa...
Air Traffic Management Systems (ATMS) of the future will feature Free Flight, in which aircraft choose their own routes, altitude, and speed, and automated conflict resolution me...
Tak-Kuen John Koo, Yi Ma, George J. Pappas, Claire...
We are concerned with the problem of defining a complex, hybrid, agent based discrete system in a modular way. The modularity results from looking at the system from a number of di...
Marek A. Bednarczyk, Wieslaw Pawlowski, Luca Berna...
In this paper, we present a multi-pronged approach to the "Learning from Example" problem. In particular, we present a framework for integrating learning into a standard...
Jie Sun, Tejas R. Mehta, David Wooden, Matthew Pow...