The role of the preferred neighbor with the expected payoff on cooperation in spatial public goods game under optimal strategy selection mechanism
Yunsheng Deng and
Jihui Zhang
Physica A: Statistical Mechanics and its Applications, 2021, vol. 584, issue C
Abstract:
Cooperation is considered to be one of the driving forces to advance human civilization. How to increase the level of cooperation within the community has always been a hot research topic. Combining complex network theory and evolutionary game theory provides a practical, theoretical framework for investigating this problem. However, previous researchers often focused on the network models reflecting the real physical structures and the game models representing the social dilemmas. Few people paid attention to the role of the individual specific behaviors in the evolutionary game process. In this paper, we propose two mechanisms, “the preferred neighbor with the expected payoff” and “the optimal strategy selection mechanism based on historical information,” to emulate individual actions in the two stages of selecting learning targets and choosing strategies, respectively. The preferred neighbor with the expected payoff mechanism can select learning objectives purposefully, avoiding the blindness caused by random selection in previous studies. The optimal strategy selection mechanism determines the best strategy by comprehensively considering the strategies and payoffs in a given time dimension to be used for the next game round robin. The simulation results demonstrate that either of the above two mechanisms can significantly promote the level of cooperation. If they join forces, the cooperation level of the system can be maximized to the greatest extent. Our work may provide some new approaches to increasing the overall cooperation levels from a brand-new perspective.
Keywords: Preferred neighbor; Public goods game; Optimal strategy selection mechanism; Memory (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0378437121006361
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:584:y:2021:i:c:s0378437121006361
DOI: 10.1016/j.physa.2021.126363
Access Statistics for this article
Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis
More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().