TY  - JOUR
VL  - 1
ID  - eprints2097
EP  - 11
SN  - 1947-3087
PB  - IGI Global
A1  - Quattrociocchi, Walter
A1  - Latorre, Daniela
A1  - Lodi, Elena
A1  - Nanni, Mirco
SP  - 1
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.
Y1  - 2010///
AV  - none
TI  - Dealing with Interaction for Complex Systems Modelling and Prediction
IS  - 1
JF  - International journal of artificial life research
UR  - http://dx.doi.org/10.4018/jalr.2010102101
ER  -