ACEGES – is an agent-based model for exploratory energy policy by means of controlled computational experiments. ACEGES is designed to be the foundation for large custom-purpose simulations of the global energy system. The full version of the ACEGES is based on i) the MASON library, ii) the R Project for statistical computing, iii) the ECJ, which is an evolutionary computation system written in Java, and iv) the GAMLSS framework. The a ACEGES software is authored by Dr. Vlasios Voudouris with contributions from Dr. Mikis Stasinopoulos, Dr Konstantinos Skindilias, Dr. Robert Rigby and Carlo Di Maio (Bocconi University). We would also like to acknowledge the sustantial support from Dr. John Hallock (SUNY), Prof. Michael Jefferson and Prof. John Sedgwick.
Agent-Based Modeling Tools – This site is designed to provide tools, documentation, and information related to the development of agent-based models (ABM) in population research.
Computer Applications in Science & Engineering – The CASE department main goal is to enhance the links between two major contemporary fields of science and technology: applied science community and high performance computing experts. On one hand, the applied science community shows an increasing need of computing power. On the other hand, the high performance computational science experts have the knowledge and experience to get the best from supercomputing facilities. The evident beneficiaries of this interdisciplinary collaboration are: High-tech industry and Academia. Thus, the CASE department strongly contributes to the insertion of the BSC-CNS in the society.
MES – The Model Exploration Service (MES) is an easy to use on-line tool to explore your agent-based simulations at large. With AITIA’s non-expensive prepaid scheme, you can flexibly explore the behavior of your simulation on a large nymber of CPUs (determined by you) with only a few mouse clicks.