Abstract. For over a decade, agent research has shown that social commitments support the definition of open multiagent systems by capturing the responsibilities that agents contr...
Philippe Pasquier, Roberto A. Flores, Brahim Chaib...
— Reinforcement learning (RL) algorithms have long been promising methods for enabling an autonomous robot to improve its behavior on sequential decision-making tasks. The obviou...
Several innovative software applications such as those required by ambient intelligence, the semantic grid, e-commerce and e-marketing, can be viewed as open societies of heteroge...
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...
In order for an autonomous agent to behave robustly in a variety of environments, it must have the ability to learn approximations to many different functions. The function approx...