Transfer learning is the ability of an agent to apply knowledge learned in previous tasks to new problems or domains. We approach this problem by focusing on model formulation, i....
The complicated user interfaces and complex functionality of nowadays interactive products lead to a new class of failures: People do not understand their products and thus fail t...
In this paper, we address the question of what kind of knowledge is generally transferable from unlabeled text. We suggest and analyze the semantic correlation of words as a gener...
Management has become a key concern for the success of multicast deployment in the Internet. One of the most important management tasks for multicast is to verify the availability...
In the last years we have developed a platform for the realization of embodied (conversational) agents, in a distributed logic programming framework. In this paper we will present...