Reinforcement learning can provide a robust and natural means for agents to learn how to coordinate their action choices in multiagent systems. We examine some of the factors that...
This paper comes back to the problem of coordination of cooperative activities with a Workflow management system. First, we describe the differences that we have noted between busi...
Computational Trust and Reputation (CTR) systems are essential in electronic commerce to encourage interactions and suppress deceptive behaviours. This paper focus on comparing two...
Agnieszka Danek, Joana Urbano, Ana Paula Rocha, Eu...
Abstract— In this paper, we present a framework that enables an operator to haptically and visually interact with a dynamic simulation subject to virtual holonomic constraints. T...
This paper presents an interactive method for building a controller for dynamic systems by using a combination of knowledge acquisition and machine learning techniques. The aim is...