Innovation dynamics in multi-scalar systems of cities
Résumé
Innovation dynamics in social and technological systems are strongly linked to urban systems and their multi-scale properties. Understanding underlying processes is crucial for sustainable territorial planning. We introduce a multi-scalar model for innovation dynamics in systems of cities, coupling a macroscopic innovation diffusion and urban dynamics model with mesoscopic models for local innovation clusters. The model parameter space is explored, and we apply a bi-objective optimisation algorithm with objectives across scales. Implementing indicators for downward causation, we finally investigate with a diversity search algorithm the diverse regimes of emergence the model can produce. This suggests strong emergence is captured, confirming the relevance of multi-scale approaches to artificial societies and urban simulation.
Domaines
Sciences de l'Homme et Société
Fichier principal
isal_a_00702.pdf (2.2 Mo)
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247_ONLINE.pdf (2.83 Mo)
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ALife2023_SpecialSessionALifeAndSociety_RaimbaultPumain_247_20230728.pdf (2.28 Mo)
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| Origine | Fichiers produits par l'(les) auteur(s) |
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| Format | Poster |
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| Commentaire | Poster |
| Format | Présentation |
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| Commentaire | Slides |