The development of a discrete-event simulation tool, called GMSim, based on the generalized semi-Markov process (GSMP) formalism is described. The GSMP representation comprises bo...
We formalize a model for supervised learning of action strategies in dynamic stochastic domains and show that PAC-learning results on Occam algorithms hold in this model as well. W...
We propose an operational model that combines message meaning and conversational structure in one comprehensive approach. Our long-term research goal is to lay down principles unit...
Roberto A. Flores, Philippe Pasquier, Brahim Chaib...
How can an intelligent agent update her knowledge base about an action domain, relative to some conditions (possibly obtained from earlier observations)? We study this question in...
This poster discusses methods to characterize the resilience of networks to a number of challenges and attacks, with the goal of developing quantifiable metrics to determine the de...
Bernhard Plattner, David Hutchison, James P. G. St...