Abstract. Conventional artificial neural network models lack many physiological properties of the neuron. Current learning algorithms are more concerned to computational performanc...
Robots that interact with humans face-to-face using natural language need to be responsive to the way humans use language in those situations. We propose a psychologicallyinspired...
The present work investigates the problem of determining a learning path inside a suitable domain ontology. The proposed approach enables the user of a web learning application to ...
Roberto Pirrone, Massimo Cossentino, Giovanni Pila...
There are numerous cases where a reasoning agent needs to reason about the behavior of an opponent agent. In this paper, we propose a hybrid probabilistic logic language within wh...
Gerardo I. Simari, Amy Sliva, Dana S. Nau, V. S. S...
In human-human conversation, people use linguistic expressions that are flexibly tailored to context as a matter of course, and they expect their conversational partners to do lik...