The following paper briefly presents the formulation and development of a case study supply chain simulation model as developed for an industrial company. The case study company i...
In multi-agent applications, normative systems are usually used to regulate the behavior of the agents. They provide an efficient means to ensure limited deviations from an expecte...
The venerable problem solving technique of simulation finds itself inthe midstof a revolution. Where once it was regarded as a "technique of last resort" for systems ana...
Richard M. Weatherly, Annette L. Wilson, Bradford ...
Recent advancements in model-based reinforcement learning have shown that the dynamics of many structured domains (e.g. DBNs) can be learned with tractable sample complexity, desp...
Thomas J. Walsh, Sergiu Goschin, Michael L. Littma...
Abstract. This paper describes aspects of a training environment for crisis decision makers who, notoriously, operate in highly stressful and unpredictable situations. Training suc...
Gabriella Cortellessa, Rita D'Amico, Marco Pagani,...