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Dealing with Interaction for Complex Systems Modelling and Prediction

Quattrociocchi, Walter and Latorre, Daniela and Lodi, Elena and Nanni, Mirco Dealing with Interaction for Complex Systems Modelling and Prediction. International journal of artificial life research, 1 (1). pp. 1-11. ISSN 1947-3087 (2010)

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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.

Item Type: Article
Identification Number: 10.4018/jalr.2010102101
Subjects: Q Science > QA Mathematics
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Research Area: Computer Science and Applications
Depositing User: Ms T. Iannizzi
Date Deposited: 20 Jan 2014 10:23
Last Modified: 20 Jan 2014 10:23
URI: http://eprints.imtlucca.it/id/eprint/2097

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