Emotional Modulation in Swarm Decision Dynamics
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Swiss finance institutions and fintech companies may find insights from the "bee equation" and its extension into an agent-based model relevant for underst
Emotional Modulation in Swarm Decision Dynamics
Swiss finance institutions and fintech companies may find insights from the "bee equation" and its extension into an agent-based model relevant for understanding collective decision-making processes in financial markets. By incorporating emotional valence and arousal as modulators of interaction rates, researchers can better model the dynamics of investor behavior and sentiment. This could potentially lead to more accurate predictions of market trends and better risk management strategies. The application of such models in the Swiss financial sector could also facilitate the development of more sophisticated AI-powered trading systems.
Source
Original Article: Emotional Modulation in Swarm Decision Dynamics
Published: March 10, 2026
Author: David Freire-Obregón
This article was automatically aggregated from ArXiv AI Papers for informational purposes. Summary written by AI.
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Original Source
This article is based on Emotional Modulation in Swarm Decision Dynamics (ArXiv AI Papers)
