While existing mathematical descriptions can accurately account for phenomena at microscopic scales (e.g. molecular dynamics), these are often high-dimensional, stochastic and thei...
We present a noisy-OR Bayesian network model for simulation-based training, and an efficient search-based algorithm for automatic synthesis of plausible training scenarios from co...
Eugene Grois, William H. Hsu, Mikhail Voloshin, Da...
Embodied conversational agents are required to be able to express themselves convincingly and autonomously. Based on an empirial study on spatial descriptions of landmarks in dire...
This paper presents CIRCE, an environment for the analysis of natural language requirements. CIRCE is first presented in terms of its architecture, based on a transformational para...
The aim of this work is the design of a framework for the revision of knowledge in abductive reasoning agents, based on interaction. We address issues such as: how to exploit knowl...