This paper introduces the RL-TOPs architecture for robot learning, a hybrid system combining teleo-reactive planning and reinforcement learning techniques. The aim of this system ...
Abstract. In this paper we address the problem of prioritising feedback on the basis of multiple heterogeneous pieces of information in exploratory learning. The problem arises whe...
In order to manage and enforce multiple heterogeneous authorization policies in distributed authorization environment, we defined the root policy specification language and its cor...
: We view the task of sensemaking in intelligence as that of abducing a story whose plot explains the current data and makes verifiable predictions about the future and the past. W...
Abstract. There is an increasing need to provide methods for describing information systems which incorporate the integrated use of multiple channels of interaction. To achieve thi...