While traditional sciences treat uncertainty as an obstacle to be minimized, this paper proposes an epistemic shift: viewing uncertainty as a resource to leverage. To enact this shift, we suggest adopting improvisation—where novel behaviors are instantaneously assembled to meet unpredictable constraints—as a model for real-time adaptation and behavioral expansion. In this practice, uncertainty is not merely managed but deliberately injected to disrupt the determinism of habitual routines. By unveiling a wider space of potential paths, increasing uncertainty fosters behavioral exploration, discovery, and collective decision-making amidst dissent. This perspective resonates across scales: in neuroscience, neural uncertainty is increasingly recognized as a hallmark of cognition and volition; in artificial systems, cultivating the models’ inherent indeterminism can disrupt their biased attraction toward users’ expectations, boosting the open-endedness of human-model interactions and fostering cognitive emancipation. In an era of systemic unpredictability, exploring the functional utility of uncertainty through the lens of improvisation is a timely necessity for understanding natural, psychosocial, and artificial systems. We present a general overview of empirical support for this framework, the promises of this emerging perspective, and the future directions it calls for.

Harnessing Uncertainty: Improvisation as a Model for Rapid Behavioral Expansion

D'Ausilio, Alessandro
Ultimo
2026

Abstract

While traditional sciences treat uncertainty as an obstacle to be minimized, this paper proposes an epistemic shift: viewing uncertainty as a resource to leverage. To enact this shift, we suggest adopting improvisation—where novel behaviors are instantaneously assembled to meet unpredictable constraints—as a model for real-time adaptation and behavioral expansion. In this practice, uncertainty is not merely managed but deliberately injected to disrupt the determinism of habitual routines. By unveiling a wider space of potential paths, increasing uncertainty fosters behavioral exploration, discovery, and collective decision-making amidst dissent. This perspective resonates across scales: in neuroscience, neural uncertainty is increasingly recognized as a hallmark of cognition and volition; in artificial systems, cultivating the models’ inherent indeterminism can disrupt their biased attraction toward users’ expectations, boosting the open-endedness of human-model interactions and fostering cognitive emancipation. In an era of systemic unpredictability, exploring the functional utility of uncertainty through the lens of improvisation is a timely necessity for understanding natural, psychosocial, and artificial systems. We present a general overview of empirical support for this framework, the promises of this emerging perspective, and the future directions it calls for.
2026
Laroche, Julien; D'Ausilio, Alessandro
File in questo prodotto:
File Dimensione Formato  
2026-CogSci.pdf

accesso aperto

Descrizione: Full text editoriale
Tipologia: Full text (versione editoriale)
Licenza: Creative commons
Dimensione 176.28 kB
Formato Adobe PDF
176.28 kB Adobe PDF Visualizza/Apri

I documenti in SFERA sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/2627610
Citazioni
  • ???jsp.display-item.citation.pmc??? 1
  • Scopus 1
  • ???jsp.display-item.citation.isi??? 0
social impact