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Updated: Aug 8, 2025

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Published on: March 1, 2022
Assortativity in cognition.
Ennio Bilancini1, Leonardo Boncinelli2, Eugenio Vicario3
1IMT School for Advanced Studies Lucca, Laboratory for the Analysis of compleX Economic Systems, Piazza S. Francesco 19, 55100, Lucca, Italy.
Assortativity in cognition, where individuals share cognitive processes, can emerge from other assortative traits. This cognitive matching promotes cooperation by enhancing prosociality in intuition and deliberation.
Area of Science:
- Social Psychology
- Behavioral Economics
- Computational Social Science
Background:
- Assortativity describes non-random matching in social networks, influencing interaction outcomes.
- Dual Process Theory posits two distinct cognitive systems: intuitive heuristics and deliberate reasoning.
- Understanding cognitive matching is crucial for explaining social behavior and cooperation.
Purpose of the Study:
- To theoretically demonstrate how assortativity in cognition can emerge from other assortative dimensions.
- To analyze the impact of cognitive assortativity on the emergence of cooperation and prosociality.
- To investigate the interplay between intuition and deliberation under cognitive assortativity.
Main Methods:
- Theoretical modeling to establish the emergence of cognitive assortativity.
- Agent-based simulations to explore the effects of cognitive assortativity on cooperation.
- Analytical solutions derived for specific cases to validate simulation findings.
Main Results:
- Cognitive assortativity can arise as a consequence of assortativity in other traits.
- Assortativity in cognition significantly promotes cooperation by increasing prosociality.
- Deliberation effectively shapes intuitive heuristics towards cooperative strategies, enhancing overall cooperation.
Conclusions:
- Cognitive assortativity is a key factor in promoting cooperation in social dilemmas.
- The interaction between intuition and deliberation is modulated by cognitive matching, leading to increased prosociality.
- Findings have significant implications for understanding societal desirability and designing interventions in social games.
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