TY  - JOUR
IS  - 1
Y1  - 2010///
UR  - http://dx.doi.org/10.4018/jalr.2010102101
A1  - Quattrociocchi, Walter
A1  - Latorre, Daniela
A1  - Lodi, Elena
A1  - Nanni, Mirco
JF  - International journal of artificial life research
PB  - IGI Global
VL  - 1
EP  - 11
ID  - eprints2097
N2  - The increasing complexity of problems in the context of system modeling 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 article is presented a methodology for complex dynamical systems modeling 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.
TI  - Dealing with Interaction for Complex Systems Modelling and Prediction
SP  - 1
AV  - none
SN  - 1947-3087
ER  -