Articolo in rivista, 2010, ENG, 10.4018/jalr.2010102101
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
Complex systems, Interaction, Agent simulation
ISTI – Istituto di scienza e tecnologie dell'informazione "Alessandro Faedo"
CNR authors
External links
OAI-PMH: Dublin Core
OAI-PMH: Mods
OAI-PMH: RDF
URL: http://www.igi-global.com/bookstore/Article.aspx?TitleId=38930
External IDs
CNR OAI-PMH: oai:it.cnr:prodotti:68498
DOI: 10.4018/jalr.2010102101