07 Tesi di Dottorato

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Dalla complessità alla sostenibilità: un modello basato su agenti per lo sviluppo e la governance delle Comunità Energetiche Rinnovabili

Renewable Energy Communities (RECs) represent a decentralised model of sustainable energy production and consumption, consistent with ESG principles and aimed at improving energy self-sufficiency, reducing environmental impacts and strengthening social cohesion. This study uses an Agent-Based Model (ABM) to analyse citizen participation in RECs, integrating individual decisions influenced by bounded rationality, social interactions and governance tools, together with a technical simulation o...

Per una definizione di ironia architestuale. Una prospettiva semiotica sull’ironia tra verbale e intertestuale

This dissertation develops a theoretical and methodological framework for the analysis of a peculiar type of irony—here termed architextual irony—in which a text remains interpretable as ironic even when detached from its original context. In such cases, irony appears to be embedded in the discursive configuration itself, without requiring access to the original communicative situation in order to identify its ironic meaning. These occurrences, which have received little scholarly attention, ...

Computational methods for optimal control and gradient flows in collective dynamics

This thesis develops and analyses numerical schemes for optimal control problems and their extensions, with a particular emphasis on preserving the analytical structure of the continuous models while ensuring computational efficiency. Optimal control theory, originating from the foundational works of Pontryagin and Bellman, offers powerful frameworks for regulating dynamical systems, yet its practical implementation faces significant challenges in the presence of non-linearity, high dimension...

Adaptive and efficient neural architectures: from adaptive computation to interpretable AI systems

The rapid advancement of Artificial Intelligence, particularly through deep learning and Large Language Models, has yielded unprecedented performance across diverse domains. However, this success has come at the cost of increasingly demanding computational requirements and diminished transparency. Modern AI systems rely heavily on over-parameterized architectures that, while powerful, are inefficient for deployment in resource-constrained environments and opaque in their decision-making p...

Language in action: the cross-domain role of language in the sensorimotor encoding of novel actions

Language and action are fundamental human cognitive abilities that share partially overlapping neural substrates and functional mechanisms. While action learning has traditionally been investigated taking into account predominantly visuomotor processes, growing evidence suggests that language plays a significant role in shaping perception, cognition, and motor behavior. This thesis expands this literature, investigating the contribution of language—explicit (verbal labels) and implicit (inner...

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