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Related Experiment Video

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Experimental Research Examining How People Can Cope with Uncertainty Through Soft Haptic Sensations

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Published on: September 16, 2015

Harnessing Uncertainty: Improvisation as a Model for Rapid Behavioral Expansion.

Julien Laroche^1,2, Alessandro D'Ausilio^2,3

¹EuroMov DHM, Université Montpellier, IMT Mines Alès.

Cognitive Science

|March 12, 2026

Summary

This summary is machine-generated.

This study reframes uncertainty from an obstacle to a resource, using improvisation as a model for adaptation. Deliberately increasing uncertainty drives exploration and discovery in natural, psychosocial, and artificial systems.

Keywords:

Collective behavior Coordination dynamics Creativity Improvisation Interaction dynamics Uncertainty

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Area of Science:

Cognitive Science
Neuroscience
Artificial Intelligence
Systems Theory

Background:

Traditional scientific approaches minimize uncertainty.
This paper proposes a paradigm shift: viewing uncertainty as a valuable resource.
Improvisation offers a model for leveraging uncertainty in real-time adaptation.

Purpose of the Study:

To propose an epistemic shift in understanding uncertainty.
To present improvisation as a framework for utilizing uncertainty.
To explore the functional utility of uncertainty across various systems.

Main Methods:

Conceptual framework development.
Literature review of empirical support.
Analysis of improvisation as a model for adaptation.

Main Results:

Viewing uncertainty as a resource, through improvisation, fosters behavioral exploration and discovery.
Increased uncertainty can disrupt deterministic routines and enhance decision-making.
Neural uncertainty is linked to cognition; indeterminism in AI can improve human-model interactions.

Conclusions:

Embracing uncertainty as a resource via improvisation is crucial for navigating systemic unpredictability.
This perspective offers new insights into natural, psychosocial, and artificial systems.
Further research is needed to explore the empirical support and applications of this framework.