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Innovation Systems by Nonlinear Networks |
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| Authors: | P. Andriani F. Conti L. Fortuna M. Frasca G. Passiante A. Rizzo |
| Affiliation: | (1) Durhum University Business School, Mill Hill Lane, Durhum City, DH1 3LB, UK;(2) Dipartimento di Ingegneria Elettrica, Elettronica e dei Sistemi, Universitá degli Studi di Catania, Viale A. Doria 6, 95123 Catania, Italy;(3) Department of Innovation Engineering, University of Lecce, Lecce, Italy;(4) Dipartimento di Elettrotecnica ed Elettronica, Politecnico di Bari, Via Re David 200, 70125 Bari, Italy |
| Abstract: | Cellular Neural Networks (CNNs) constitute a powerful paradigm for modeling complex systems. Innovation systems are complex systems in which small and medium enterprises play the role of simple units interacting with each other. In this paper, innovation systems based on CNN are investigated. It is shown how a model based on CNN can reproduce the main features of innovation systems and how this model can be generalized to include different aspects of the actors of the financial market. |
| Keywords: | connectivity level Cellular Neural Networks innovation diffusion |
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