Reward shaping is a well-known technique applied to help reinforcement-learning agents converge more quickly to nearoptimal behavior. In this paper, we introduce social reward sha...
Monica Babes, Enrique Munoz de Cote, Michael L. Li...
In the last 10 years several approaches and technologies other than MAS (such as Web services and Grid computing) have emerged, with the support of the industry, providing their o...
Power, energy, and thermal concerns have constrained embedded systems designs. Computing capability and storage density have increased dramatically, enabling the emergence of hand...
It is widely accepted in Distributed Artificial Intelligence that a crucial property of artificial agents is their autonomy. Whereas agent autonomy enables features of agent-base...
Abstract. In this paper, we deal with errors in metamodels. Metamodels define the abstract syntax of modeling languages. They play a central role in the Model-Driven Architecture. ...