Commitment & cooperation in social dilemmas with diverse individual preferences: An agent-based modeling approach

Area of Science:

• Social dynamics
• Behavioral economics
• Computational social science

Background:

• Social dilemmas emerge from conflicts between cooperation and self-interest, threatening collective well-being.
• Existing cooperation mechanisms, like commitment, show promise but can be limited by individual differences in cooperative tendencies.

Purpose of the Study:

• To investigate the long-term social dynamics of cooperation considering heterogeneous individual propensities.
• To analyze the effectiveness of commitment mechanisms in fostering cooperation within diverse populations.

Main Methods:

• Agent-based modeling (ABM) was employed to simulate social dynamics.
• The model incorporated individual differences in propensities to cooperate.

Main Results:

• Commitment can still ensure cooperation among individuals with varying cooperative tendencies.
• The effectiveness of commitment is diminished when individual propensities differ.
• The specific design and setup of commitment mechanisms significantly influence their impact.

Conclusions:

• Integrating individual preferences is vital for understanding collective dynamics in heterogeneous populations.
• Findings offer implications for facilitating cooperation in online social production and decision-making.
• The developed model provides a foundation for supporting policy decisions regarding commitment mechanisms.