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Parrondo’s paradox 4 Markov chain 3 Computer simulation 2 Quantum game 2 Behavior 1 Competition 1 Evolutionary game 1 Kindness 1 Majority rule 1 Markov chains 1 Mean field 1 Net profit 1 Parity effect 1 Parrondo’s game 1 Parrondo’s games 1 The multi-agent Parrondo’s model 1 The network evolution 1 The paradoxical effect 1 The process sequence 1 The “agitating” effect 1 Ultimatum game 1
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Xie, Neng-gang 7 Ye, Ye 7 Wang, Lu 6 Zhu, Yong-fei 3 Meng, Rui 2 Ye, Shun-qiang 2 Cen, Yu-wan 1 Guo, Jia-yi 1 Jones, Michael C. 1 Li, Yin-feng 1 Peng, Fa-rui 1 Wang, Chao 1 Wang, Meng 1 Zheng, Kai-xuan 1
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Physica A: Statistical Mechanics and its Applications 7
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RePEc 7
Showing 1 - 7 of 7
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The evolutionary analysis of the ultimatum game based on the net-profit decision
Wang, Lu; Ye, Shun-qiang; Jones, Michael C.; Ye, Ye; … - In: Physica A: Statistical Mechanics and its Applications 430 (2015) C, pp. 32-38
In an ultimatum game where competitive pressures and alternating roles exist, we suppose that players make their decisions based on the net profit of their own. Here we conduct a behavioral experiment in a selection examination, and then we establish a model and study the evolution of strategies...
Persistent link: https://www.econbiz.de/10011264577
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A new theoretical analysis approach for a multi-agent spatial Parrondo’s game
Li, Yin-feng; Ye, Shun-qiang; Zheng, Kai-xuan; Xie, … - In: Physica A: Statistical Mechanics and its Applications 407 (2014) C, pp. 369-379
For the multi-agent spatial Parrondo’s games, the available theoretical analysis methods based on the discrete-time Markov chain were assumed that the losing and winning states of an ensemble of N players were represented to be the system states. The number of system states was 2N types....
Persistent link: https://www.econbiz.de/10010873110
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The multi-agent Parrondo’s model based on the network evolution
Ye, Ye; Xie, Neng-gang; Wang, Lu; Cen, Yu-wan - In: Physica A: Statistical Mechanics and its Applications 392 (2013) 21, pp. 5414-5421
A multi-agent Parrondo’s model is proposed in the paper. The model includes link A based on the rewiring mechanism (the network evolution) + game B (dependent on the spatial neighbors). Moreover, to produce the paradoxical effect and analyze the “agitating” effect of the network...
Persistent link: https://www.econbiz.de/10011057321
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The paradox of group behaviors based on Parrondo’s games
Xie, Neng-gang; Guo, Jia-yi; Ye, Ye; Wang, Chao; Wang, Lu - In: Physica A: Statistical Mechanics and its Applications 391 (2012) 23, pp. 6146-6155
We assume a multi-agent model based on Parrondo’s games. The model consists of game A between individuals and game B. In game A, two behavioral patterns are defined: competition and inaction. A controlled alternation strategy of behavioral pattern that gives a single player the highest return...
Persistent link: https://www.econbiz.de/10010871973
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The coupling effect of the process sequence and the parity of the initial capital on Parrondo’s games
Wang, Lu; Zhu, Yong-fei; Ye, Ye; Meng, Rui; Xie, Neng-gang - In: Physica A: Statistical Mechanics and its Applications 391 (2012) 21, pp. 5197-5207
Based on the original Parrondo’s game and on the case where game A and game B are played randomly with modulo M=4, the processes of the game are divided into odd and even numbered plays, where the probability of playing game A in odd numbers is γ1 and the probability of playing game A in even...
Persistent link: https://www.econbiz.de/10011063184
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Parity effect of the initial capital based on Parrondo’s games and the quantum interpretation
Wang, Lu; Xie, Neng-gang; Zhu, Yong-fei; Ye, Ye; Meng, Rui - In: Physica A: Statistical Mechanics and its Applications 390 (2011) 23, pp. 4535-4542
In our previous study [Zhu et al., Quantum game interpretation for a special case of Parrondo’s paradox, Physica A 390 (2011) 579], the capital-dependent Parrondo’s game where one game depends on the capital modulus M=4 was shown not to have a definite stationary probability distribution and...
Persistent link: https://www.econbiz.de/10010872080
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Quantum game interpretation for a special case of Parrondo’s paradox
Zhu, Yong-fei; Xie, Neng-gang; Ye, Ye; Peng, Fa-rui - In: Physica A: Statistical Mechanics and its Applications 390 (2011) 4, pp. 579-586
By using the discrete Markov chain method, Parrondo’s paradox is studied by means of theoretical analysis and computer simulation, built on the case of game AB played in alternation with modulus M=4. We find that such a case does not have a definite stationary probability distribution and that...
Persistent link: https://www.econbiz.de/10011060028
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