Analyzing Multi-player Equalizer Strategy in Iterated Threshold Public Goods Game

被引:1
作者
Lyu, Yuelin [1 ]
Shi, Yiming [1 ]
Rong, Zhihai [2 ]
机构
[1] Univ Elect Sci & Technol China, Sch Comp Sci & Engn, Chengdu, Peoples R China
[2] Donghua Univ, Coll Informat Sci & Technol, Shanghai, Peoples R China
来源
2023 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, ISCAS | 2023年
关键词
Game theory; Iterated game; Memory strategy; RISK SOCIAL DILEMMA; EXTORTION; EVOLUTION;
D O I
10.1109/ISCAS46773.2023.10181979
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, we investigate the multi-player equalizer strategy in the public goods game with threshold, a kind of key zero-determinant strategies in iterated games that can enforce opponents' long-term payoff to a fixed value. This paper studies the role of the equalizer strategy on the total amount of endowment in the particular scenario of the iterated multi-player game, where everyone will suffer a loss if the endowment does not exceed a threshold. Our results show that the threshold that the equalizer strategy can enforce to reach varies depending on the reward and risk factors. This also provides a potential clue on how humanity should reach a consensus to avoid the collective-risk social dilemma.
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页数:5
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