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Thematic Call for papers: URBAN ARTIFICIAL INTELLIGENCE

Pianificazione intelligente nell'era dell'incertezza: decisioni, conoscenza, complessità e tecnologie emergenti

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  • Domenico Camarda
Domenico Camarda
Politecnico di Bari, Italia
DOI: https://doi.org/10.36253/contest-15647

Published 2026-01-02

Keywords

  • Intelligent planning,
  • Artificial intelligence,
  • Knowledge-based decision-making,
  • Urban digital twins,
  • Scenario building

How to Cite

Camarda, D. (2026). Pianificazione intelligente nell’era dell’incertezza: decisioni, conoscenza, complessità e tecnologie emergenti. Contesti. Città, Territori, Progetti. https://doi.org/10.36253/contest-15647

Copyright (c) 2026 Domenico Camarda

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Abstract

Traditional spatial planning shows increasing limitations in addressing the complexity and dynamism of real contexts, often resulting in plans that are abstract and difficult to implement. The advent of emerging technologies, in particular Artificial Intelligence (AI), offers new perspectives to manage complex data and support informed decisions, but also shows risks of amplification of inequalities and persistence of existing biases. The text explores these issues in a framework of historical and theoretical evolution of planning, highlighting the dialectic between traditional top-down models and the need for multi-agent and knowledge-based approaches, more collaborative and adaptive. Through the analysis of experiments with generative AI and applied ontologies, some potential and limits of current technologies in the construction of future scenarios and in the management of diffused knowledge are outlined. A central epistemological challenge emerges, consisting in integrating advanced tools with inclusive participatory processes, shifting the emphasis towards collaborative knowledge structures capable of responding to the changing needs of communities and promoting more equitable and sustainable decisions.

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