An original Reinforcement Learning (RL) methodology is proposed for the design of multi-agent systems. In the realistic setting of situated agents with local perception, the task o...
This paper describes the development of a multi-robot system for Area Reduction in Humanitarian Demining. In spite of the specific requirements imposed to the work being carried ...
Event processing has become the paradigm of choice in many monitoring and reactive applications. However, the understanding of events, their composition and level of abstraction, ...
This paper addresses the design issue of System-onelevating the design abstraction levels, through a model-driven approach. It considers the standard Marte profile, which is dedic...
Typically, autonomous believable agents are implemented using static, hand-authored reactive behaviors or scripts. This hand-authoring allows designers to craft expressive behavio...
Peng Zang, Manish Mehta, Michael Mateas, Ashwin Ra...