Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/113316
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Title: Dynamic incentives and environmental feedback in public goods games : promoting cooperation through critical thresholds
Authors: Hu, D 
Liu, J
Liu, C
Chu, C
Issue Date: Feb-2025
Source: Chaos, Feb. 2025, v. 35, no. 2, 023117, p. 023117-01 - 023117-09
Abstract: Understanding the emergence and maintenance of cooperation in multiplayer games is a significant challenge across various theoretical disciplines. In this paper, we introduce an innovative model to study the impacts of environmental feedback in systems with critical thresholds. Different from prior studies on public goods games with environmental feedback, we propose that the system holds expectations for collective behavior, and the dynamic incentives are equal for all group members. Our findings reveal that dynamic incentives driven by environmental feedback significantly enhance cooperation, particularly in scenarios with low synergy factors. As incentives increase, the system shifts from the non-cooperative to cooperative state. Moreover, a faster rate of incentive growth leads to a higher level of cooperation, demonstrating a strong positive correlation between dynamic incentive levels and overall cooperation within the system. Counterintuitively, our study finds that introducing dynamic incentives from environmental feedback not only effectively promotes cooperation under high expectation levels but also surprisingly increases the success rate of cooperation as expectations rise.
Publisher: AIP Publishing LLC
Journal: Chaos 
ISSN: 1054-1500
EISSN: 1089-7682
DOI: 10.1063/5.0235953
Rights: © 2025 Author(s). Published under an exclusive license by AIP Publishing.
This article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. This article appeared in Die Hu, Jinzhuo Liu, Chen Liu, Chen Chu; Dynamic incentives and environmental feedback in public goods games: Promoting cooperation through critical thresholds. Chaos 1 February 2025; 35 (2): 023117 and may be found at https://doi.org/10.1063/5.0235953.
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