🤖 AI Summary
Traditional models of reputation-driven cooperation neglect the social contagion of reputation and heterogeneity in group quality, limiting their ability to capture how individual reputation embeds within and reciprocally shapes collective cooperation. Method: We propose a “reputation assimilation mechanism” within spatial public goods games, dynamically coupling individual reputation with neighboring agents’ reputations and incorporating reputation-dependent variable payoff multipliers and adaptive synergy factors to encode group-quality heterogeneity. Using multi-agent simulation, dynamic network evolution, and numerical analysis, we model the coevolution of reputation and cooperation. Results: The mechanism significantly enhances system-wide cooperation: high-reputation individuals catalyze social learning, while high-reputation groups gain payoff advantages—enabling macro-level emergence and robust maintenance of cooperation. Our core contribution lies in identifying the synergistic promotion of cooperation by reputation’s cumulativeness, transmissibility, and contextual embedding within groups.
📝 Abstract
Keeping a high reputation, by contributing to common efforts, plays a key role in explaining the evolution of collective cooperation among unrelated agents in a complex society. Nevertheless, it is not necessarily an individual feature, but may also reflect the general state of a local community. Consequently, a person with a high reputation becomes attractive not just because we can expect cooperative acts with higher probability, but also because such a person is involved in a more efficient group venture. These observations highlight the cumulative and socially transmissible nature of reputation. Interestingly, these aspects were completely ignored by previous works. To reveal the possible consequences, we introduce a spatial public goods game in which we use an assimilated reputation simultaneously characterizing the individual and its neighbors'reputation. Furthermore, a reputation-dependent synergy factor is used to capture the high (or low) quality of a specific group. Through extensive numerical simulations, we investigate how cooperation and extended reputation co-evolve, thereby revealing the dynamic influence of the assimilated reputation mechanism on the emergence and persistence of cooperation. By fostering social learning from high-reputation individuals and granting payoff advantages to high-reputation groups via an adaptive multiplier, the assimilated reputation mechanism promotes cooperation, ultimately to the systemic level.