An adaptive stigmergy-based system for evaluating technological indicator dynamics in the context of smart specialization

Alfeo, A. L., Appio, F. P., Cimino, M. G. C. A., Lazzeri, A., Martini, A., Vaglini, G.

arXiv.org Artificial Intelligence 

In the last decade, several causes have determined the increasing need for rationalization of After years of economic crisis and the resulting resources within regions. The crucial ones are the reduction of resources available for research and increased globalization, mainly pursued by development investments, Smart Specialization has multinational enterprises, the economic crisis immediately become a very relevant concept to get involving all EU regions with different magnitudes these two questions answered (Foray, 2013). It and the diffusion of a new wave of general purpose represents an important chance for a progressive technologies. This situation calls for a deep economical restart. In order to develop a policyprioritization rethinking of the overall approach to regional logic to foster regional growth is development; policy-makers and experts largely important to have a deep knowledge of the potential agree on the fact that the new economic boost should evolutionary pathways related with the existing originate exploiting and enhancing the specific dynamics and the structures at regional level potential and competitive advantage of each region (McCann and Raquel Ortega-Argilès, 2013). In this through focused innovation policies. On this line, the light, each region should start this process using as European Commission has established a program standpoints the knowledge-based sectors in which labelled'Smart Specialization', consisting in a set of already presents a consistent'critical mass' or, at policies and guidelines aimed to promote the efficient and effective use of public investment in other individual to perceive.

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