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Related Experiment Video

Updated: Feb 9, 2026

The Joint Effect of Social Comparison and Social Distance on Evaluation of Intertemporal Choice Outcomes in Event-related Potential Studies
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Narrative dynamics in social groups: A discrete choice model.

A Antoci1, N Bellanca2, G Galdi2

  • 1Department of Economics and Business (DiSea), University of Sassari, via Muroni 25, 07100 Sassari, Italy.

Chaos (Woodbury, N.Y.)
|June 3, 2018
PubMed
Summary

Populations evolve different action rules, favoring short-term gains or long-term planning. Inter-group interactions, not just environment, crucially shape which decision rules dominate and lead to complex dynamics.

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Area of Science:

  • Evolutionary game theory
  • Behavioral economics
  • Social dynamics

Background:

  • Individuals exhibit diverse decision-making strategies, balancing immediate rewards with future planning.
  • Previous research focused on environmental factors influencing decision rule adoption.
  • Inter-group dynamics are proposed as a critical, understudied factor in the evolution of decision rules.

Purpose of the Study:

  • To investigate the impact of inter-group interactions on the evolution of distinct decision rules.
  • To model scenarios where populations with differing decision rules interact.
  • To identify conditions leading to complex population dynamics, including chaos and multistability.

Main Methods:

  • Agent-based modeling to simulate population interactions.
  • Game theory to analyze payoff structures based on rule adoption shares.
  • Mathematical analysis to identify dynamic regimes.

Main Results:

  • The payoff of a decision rule is dependent on the proportion of individuals adopting it within and between groups.
  • Specific interaction scenarios can lead to chaotic population dynamics.
  • Conditions for multistability, where multiple stable states exist, were identified.

Conclusions:

  • Inter-group interactions are a significant driver in the evolution of population decision rules.
  • The interplay between different decision rules within and between groups can generate complex and unpredictable dynamics.
  • Understanding these dynamics is crucial for predicting population-level behavioral evolution.