We propose a methodology for a novel type of discourse annotation whose model is tuned to the analysis of a text as narrative. This is intended to be the basis of a "story ba...
— Modeling robot motion planning with uncertainty in a Bayesian framework leads to a computationally intractable stochastic control problem. We seek hypotheses that can justify a...
Andrea Censi, Daniele Calisi, Alessandro De Luca, ...
In this paper we address the problem of temporal alignment applied to captured communicative gestures conveying different styles. We propose a representation space that may be con...
Alexis Heloir, Nicolas Courty, Sylvie Gibet, Franc...
In many domains, decision makers want to find and understand patterns of events as these patterns often give insight into the causal relationships among events. Current systems to...
We present in this paper a hybrid planning system which combines constraint satisfaction techniques and planning heuristics to produce optimal sequential plans. It integrates its ...