The existing reinforcement learning methods have been seriously suffering from the curse of dimension problem especially when they are applied to multiagent dynamic environments. ...
Many software projects have failed because their requirements were poorly negotiated among stakeholders. This paper proposes a systematic model, called "MultiCriteria Prefere...
For many years, researchers and software developers have been seeking to develop systems and applications to enable efficient and effective group work and organizational memory. ...
Most of the available knowledge management systems pay little attention to two important aspects: the need of supporting emerging communities of interest together with the officia...
Alessandra Agostini, Sara Albolino, Giorgio De Mic...
This paper presents an approach for investigating in a predictive way potential disruptive effects of interruptions on task performance in a multitasking environment. The approach...
Philippe A. Palanque, Marco Winckler, Jean-Fran&cc...