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This thesis aims to connect individual decision-making processes to broader group dynamics in social settings. It explores how personal and social information affects choices and outcomes.

July 1, 2026Open Access

The Computational Basis of Social Decision-Making: From Individual Mechanisms to Group Dynamics

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WDWenning DengCalifornia Institute of Technology

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This thesis demonstrates how individual computations influence social decisions in groups using experiments and models.

Key Points

This thesis aims to connect individual decision-making processes to broader group dynamics in social settings. It explores how personal and social information affects choices and outcomes.
Utilized dyadic foraging tasks to study individual decision-making in social contexts
Employed multiplayer real-time online tasks to investigate group-level informational cascades
Incorporated eye-tracking to analyze attention's role in decision-making processes
Participants show a tendency to compromise over counteracting, with an other-regarding reinforcement-learning model effectively explaining choices.
Group simulations replicate observed informational cascade dynamics, indicating link between individual mechanisms and collective behavior.
Attentional drift-diffusion model reveals fixation on personal information affects decision-making, beyond mere attention influence.

Cite This Study

Wenning Deng (2026) studied this question.

synapsesocial.com/papers/6a44af635cd2549c8bc44637 https://doi.org/10.7907/8taq-mp35

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The Computational Basis of Social Decision-Making: From Individual Mechanisms to Group Dynamics

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Implication

Key Points

Cite This Study

The Computational Basis of Social Decision-Making: From Individual Mechanisms to Group Dynamics

Discussion

Member takes

Implication

Key Points

Cite This Study

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