Articolo in rivista, 2010, ENG, 10.4018/jalr.2010102101

Dealing with interaction for complex systems modelling and prediction

Quattrociocchi W.; Latorre D.; Lodi E.; Nanni M.

CNR-ISTC, Roma, Italy; CNR-ISTC, Roma, Italy; Dipartimento di Scienze Matematiche e Informatiche, Università di Siena, Siena, Italy; CNR-ISTI, Pisa, Italy

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.

International journal of artificial life research (Online) 1 (1), pp. 1–11

Keywords

Complex systems, Interaction, Agent simulation

CNR authors

Nanni Mirco

CNR institutes

ISTI – Istituto di scienza e tecnologie dell'informazione "Alessandro Faedo"

ID: 68498

Year: 2010

Type: Articolo in rivista

Last update: 2018-01-29 10:05:11.000

CNR authors

External IDs

CNR OAI-PMH: oai:it.cnr:prodotti:68498

DOI: 10.4018/jalr.2010102101