This poster shows an artificial neural network capable of learning a temporal sequence. Directly inspired from a hippocampus model [Banquet et al, 1998], this architecture allows ...
This paper demonstrates the applicability of automated reasoning to text processing, specifically to Question Answering. It is shown that the approach is feasible, effective, and ...
This paper addresses agents' intentions as building blocks of imitation learning that abstract local situations of the agent, and proposes a hierarchical hidden Markov model ...
Information personalization is fertile ground for application of AI techniques. In this article I relate personalization to the ability to capture partial information in an informa...
We propose a novel method for constructing utility models by learning from observed negotiation actions. In particular, we show how offers and counter-offers in negotiation can be...