This paper proposes a comprehensive modeling architecture for workloads on parallel computers using Markov chains in combination with state dependent empirical distribution functi...
Designing distributed controllers for self-reconfiguring modular robots has been consistently challenging. We have developed a reinforcement learning approach which can be used bo...
Coming up with a plan for a team that operates in a non-deterministic environment is a complex process, and the problem is further complicated by the need for team members to comm...
— This paper aims to present ideas to bridge the gap between two conflicting views of information: Shannon information, which is used to model physical layer information, and se...
This first edition of the workshop Model-driven Software Adaptation (M-ADAPT’07) took place in the Technische Universit¨at Berlin with the International Conference ECOOP’07 i...