This paper addresses the problem of constructing good action selection policies for agents acting in partially observable environments, a class of problems generally known as Part...
Morris, Muscettola and Vidal (MMV) presented an algorithm for checking the dynamic controllability (DC) of temporal networks in which certain temporal durations are beyond the con...
We introduce a new paradigm for automatic medical image analysis that adopts concepts from the field of Artificial Life. Our approach prescribes deformable organisms, autonomous ag...
Ghassan Hamarneh, Tim McInerney, Demetri Terzopoul...
Improv is a system for the creation of real-time behavior-based animated actors. There have been several recent efforts to build network distributed autonomous agents. But in gene...
A novel method and a framework called Memory-Based Forecasting are proposed to forecast complex and timevarying natural patterns with the goal of supporting experts' decision...