The Mobile Agent (MA) paradigm seems to be a promising solution for the design and development of distributed value-added services. However, mobility has added complexity to the d...
Antonio Corradi, Rebecca Montanari, Gianluca Tonti...
We offer a new formal criterion for agent-centric learning in multi-agent systems, that is, learning that maximizes one’s rewards in the presence of other agents who might also...
Novel forms of collaboration increasingly distribute control among e-workers, thereby allowing agile and autonomous collaboration. However, this requires a novel blend of infrastr...
Daniel Schall, Christoph Dorn, Schahram Dustdar, I...
Through adjustable autonomy (AA), an agent can dynamically vary the degree to which it acts autonomously, allowing it to exploit human abilities to improve its performance, but wi...
Abstract. An open challenge in information distillation is the evaluation and optimization of the utility of ranked lists with respect to flexible user interactions over multiple ...