Dealing with interaction for complex systems modelling and prediction
Quattrociocchi W., Latorre D., Lodi E., Nanni M.
Interaction Agent simulation Complex systems
The increasing complexity of problems in the context of system modelling is leading to a new epistemological approach able to provide a representation which allows from one hand, to model complex phenomena with the support of mathematical and computational instruments, and on the other hand able to capture the global system description. In this paper is presented a methodology for complex dynamical systems modelling which is an extension of the supervised learning paradigm. The theoretical aspects of our methodology are introduced and then two different and heterogeneous case studies are presented.
Source: International journal of artificial life research (Online) 1 (2010): 1–11. doi:10.4018/jalr.2010102101
Publisher: IGI Global, Hershey, PA , Stati Uniti d'America
Metrics
Back to previous page
@article{oai:it.cnr:prodotti:68498,
title = {Dealing with interaction for complex systems modelling and prediction},
author = {Quattrociocchi W. and Latorre D. and Lodi E. and Nanni M.},
publisher = {IGI Global, Hershey, PA , Stati Uniti d'America},
doi = {10.4018/jalr.2010102101},
journal = {International journal of artificial life research (Online)},
volume = {1},
pages = {1–11},
year = {2010}
}
0000-0003-3534-4332