Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in large-scale systems. In this work, we develop a supervision fr...
Chongjie Zhang, Sherief Abdallah, Victor R. Lesser
The need to involve business users in process modeling is largely perceived in the context of Business Process Management systems. This can facilitate the elaboration of consistent...
Todor Stoitsev, Stefan Scheidl, Felix Flentge, Max...
Abstract. A lot of research has been done to promote and develop good elearning models, practices, and technological environments. However, fewer efforts were deployed to support e...
This paper explores the use of two complementary approaches, each stemming from Personal Construct Theory (PCT), to investigate the interdependence of organizations and informatio...
Laurence Brooks, Christopher J. Davis, Mark Lycett
The purpose of this paper is to increase understanding about the use of embedded open source software in commercial telecommunication products. This paper applies concepts of valu...