Computer simulation approaches have established as fundamental conceptual and practical instruments for the analysis of growingly complex systems, both for industry and business applications as well as in the scientific research context. Computational models and simulators are currently employed in the most different application areas, ranging from urban modeling and planning to logistics and production, from biology to social sciences. Consequently, the adopted modeling approaches and methodologies, as well as simulation project life-cycles, techniques for the evaluation and interpretation of simulation results are often very distant. Moreover, simulation projects are often intrinsically an interdisciplinar effort; this leads to potential issues and calls for specific methodological considerations.
This track at ACM SAC aims to provide a forum for the discussion of results and relevant research advances on the topic of computer simulation, fostering thus interdisciplinary discussion and cross fertilization of the involved disciplines and application areas. It is intended to facilitate the dissemination of theoretical advances in computer simulation, as well as a vehicle for discussions about methodologies, models, tools, in several application domains.
- Fabien Michel - Laboratoire d'Informatique, de Robotique et de Microélectronique de Montpellier, Université Montpellier II, CNRS - France
- Giuseppe Vizzari - Complex Systems and Artificial Intelligence research centre, University of Milano-Bicocca - Italy