Hypertext systems are being used in many applications because of their flexible structure and the great browsing freedom they give to diverse communities of users. However, this s...
Abstract. In this paper we describe an approach to the representation and implementation of agent-based systems where the behaviour of an individual agent is represented by a set o...
Domain adaptation is a fundamental learning problem where one wishes to use labeled data from one or several source domains to learn a hypothesis performing well on a different, y...
Shaping functions can be used in multi-task reinforcement learning (RL) to incorporate knowledge from previously experienced tasks to speed up learning on a new task. So far, rese...
In this paper, we describe the concept of ontological design. We show how ontologies can be used as cognitive maps of complex, ill-structured, plastic problems. They can be used t...