The issue of this work is how to type mobility, in the sense that we tackle the problem of typing not only mobile agents but also their movement. This yields higher-order types for...
Giuseppe Castagna, Giorgio Ghelli, Francesco Zappa...
Abstract. We propose a machine learning approach to action prediction in oneshot games. In contrast to the huge literature on learning in games where an agent's model is deduc...
Abstract. We report research into concepts and technology for enabling endusers to configure Ambient Intelligent environments. In this paper we focus on the feasibility and accepta...
For the generation of freeform 3D models, one of the most intuitive solution is to use sketch-based modeling environments. Unfortunately, since the user interface relies upon the a...
Action modeling is an important skill for agents that must perform tasks in novel domains. Previous work on action modeling has focused on learning STRIPS operators in discrete, r...