Article
Mathematics, Applied
Juan Shi, Die Hu, Rui Tao, Yunchen Peng, Yong Li, Jinzhuo Liu
Summary: The study explores the spatiotemporal dynamics of cooperation among different populations using the voluntary prisoner's dilemma game as a mathematical model, revealing the formation of a fascinating spiral pattern and the promotion of cooperation among populations. The simultaneous existence of different populations significantly increases the complexity of the evolutionary dynamics of structural populations.
APPLIED MATHEMATICS AND COMPUTATION
(2021)
Article
Mathematics, Interdisciplinary Applications
Lan Zhang, Jianchen Pan, Changwei Huang
Summary: The migration behavior of the population, affected by uncertain and irrational factors, has a significant impact on cooperation evolution in spatial games. Previous studies have considered either random or deterministic migration, but in reality, a mixture of both factors exists. This study examined the effects of a mixture of directional and random migration on cooperation and found that a small proportion of directional migration and lower migration speed promote cooperation. There is an optimal range of directional migration that best promotes the evolution of cooperation.
CHAOS SOLITONS & FRACTALS
(2023)
Article
Mathematics, Interdisciplinary Applications
Zheng-Hong Deng, Zi-Ren Wang, Huan-Bo Wang, Yijie Huang
Summary: Informers play a significant role in cooperation behavior by labeling defectors and promoting cooperation. With an increasing proportion of informers, cooperation can be further enhanced, and there is an obvious threshold in the change of informers' proportion.
CHAOS SOLITONS & FRACTALS
(2021)
Article
Mathematics, Interdisciplinary Applications
A. M. Locodi, C. O'Riordan
Summary: In this study, we systematically explore the outcomes of simulations of populations playing the Prisoner's Dilemma. By placing agents on a toroidal lattice and conducting two-player one shot Prisoner's Dilemma with their neighbors, we investigate the effects of transitioning from a square lattice to a rectangular lattice with reduced column height or row width. Our results reveal different outcomes and we categorize and explain the observed phenomena. Additionally, we calculate the potential payoffs for both cooperators and defectors and identify a set of simulations to undertake based on the complete set of possible non-equal payoff relationships.
CHAOS SOLITONS & FRACTALS
(2023)
Article
Mathematics, Interdisciplinary Applications
Liyan Gao, Qiuhui Pan, Mingfeng He
Summary: This paper investigates the influence of peer pressure on the evolution of cooperation in the prisoner's dilemma game. The results show that peer pressure can promote cooperation. The impact of pressure sensitivity on the system is non-trivial, and the evolution of the system can be categorized into three types based on the intensity of pressure. Furthermore, when cooperators and defectors have different pressure sensitivities, the promotion effect on cooperation is better compared to when they have the same pressure sensitivities.
CHAOS SOLITONS & FRACTALS
(2023)
Article
Mathematics, Interdisciplinary Applications
M. Zhang, Si-Yi Wang, Xin-Tao Hu, K. Alfaro-Bittner
Summary: This study presents preliminary experimental evidence on the role of local and global information in networks of repeated Prisoner's dilemma game. The results indicate that agents are more willing to cooperate when they have access to global information or have the option to freely choose between global and local information, while tending to adopt a conservative strategy of defection with only local information.
CHAOS SOLITONS & FRACTALS
(2021)
Article
Physics, Multidisciplinary
Zi-Ren Wang, Zheng-Hong Deng, Huan-Bo Wang, Yun Qu
Summary: The study shows that moderately overestimating and underestimating reality can enhance cooperation, and having more players with moderate irrational sentiment can promote cooperation. Overestimation and underestimation have different effects on cooperation.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2021)
Article
Biology
Sona John, Johannes Mueller
Summary: In this study, we investigate the evolutionary dynamics of an age-structured population under weak frequency-dependent selection and find that the weak selection is non-trivially affected by the life-history trait. By analyzing different time scales, which seem to have a universal structure in the interplay between weak selection and life-history traits, we simplify the infinite dimensional model to a one-dimensional modified replicator equation. Using this equation, we explore cooperation in the prisoner's dilemma through adaptive dynamics and identify conditions under which age structure can promote cooperation.
MATHEMATICAL BIOSCIENCES
(2023)
Article
Mathematics, Applied
Wen Lu, Shu Liang
Summary: In this paper, a prisoner's dilemma game model is developed with three types of strategies and six types of emotions. The proposed direct emotional interaction mechanism considers memory effect, where a player's favorability serves as an index of emotions that directly impacts payoffs and emotions. Through simulations, it is shown that both direct emotional interaction and memory enhance the competitive advantage of cooperators and individuals with friendly emotions. Furthermore, an increase in the degree of direct emotional interaction leads to an increase in the proportion of friendly groups. The impact of memory on cooperation has a non-monotonic characteristic. Overall, the work contributes to understanding the role of emotional factors in the evolution of social cooperation.
APPLIED MATHEMATICS AND COMPUTATION
(2023)
Article
Mathematics, Applied
Zi-Ren Wang, Zheng-Hong Deng, Huan-Bo Wang, HuXiong Li Li, X. Fei-Wang
Summary: This study introduces an uneven resource distribution network model to investigate cooperative behavior among players. The findings indicate that defectors may initially occupy resource-rich areas but struggle to survive in hostile environments, while cooperators continue to thrive. Furthermore, cooperative behavior is promoted when resources are substantially depleted.
APPLIED MATHEMATICS AND COMPUTATION
(2022)
Article
Mathematics, Interdisciplinary Applications
Shounan Lu, Ge Zhu, Lianzhong Zhang
Summary: This study proposes a coevolutionary model in the prisoner's dilemma game, where the community environment determines the anti-social revenue structure. It is found that individuals' perception of the external environment can trigger antisocial behavior by influencing their perception of antisocial revenue. Additionally, their past strategic information also plays a similar role. Simulation results show that this mechanism significantly improves cooperation, especially when sensitivity to the environment is taken into account. Analysis also reveals that different optimal cooperative levels can result from a lack of experience and insufficient environmental information.
CHAOS SOLITONS & FRACTALS
(2023)
Article
Mathematics, Applied
Liyan Gao, Qiuhui Pan, Mingfeng He
Summary: This study proposes an environmental-based defensive game model, which shows that defensive awareness helps cooperators survive in competition, achieve stable coexistence of cooperation and defection, and ultimately reach an evolutionary stable state of full cooperation.
APPLIED MATHEMATICS AND COMPUTATION
(2021)
Article
Mechanics
Ran Su, Jia-Li Qian, Qing-Yi Hao, Chao-Yun Wu, Ning Guo, Xiang Ling
Summary: The emotions of individuals play a crucial role in influencing cooperation in human society. An individual's acceptability of their own strategy, influenced by the strategies of their neighbors, can lead them to adjust their strategy in a spatial game. This study investigates a spatial prisoner's dilemma game with acceptability involved, where the average acceptability in the community is considered as a factor in an individual's fitness. The numerical experiments demonstrate that individuals considering average acceptability can significantly promote cooperation under certain conditions. Moreover, while individuals' blind conformity behavior can encourage cooperation when the temptation value is low, it becomes detrimental to cooperation for high temptation values. These findings provide insights into understanding the mechanism of emotions in promoting cooperation.
JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT
(2023)
Article
Physics, Multidisciplinary
Mingjian Fu, Jingbin Wang, Linlin Cheng, Lijuan Chen
Summary: The study introduces a reward mechanism based on historical loyalty to enhance cooperation among selfish individuals, with results showing that proper loyalty thresholds and reward factors can significantly increase cooperation levels. Time evolution of cooperator density and spatial distribution of cooperators and defectors were also examined.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2021)
Article
Mathematics, Interdisciplinary Applications
Xiaowei Zhao, Haoxiang Xia
Summary: This paper investigates the impact of migration on the evolution of cooperation, proposing a dynamic model that considers individuals' tendencies on migration and imitation, and introduces information accuracy parameters. The results demonstrate that higher accuracy of information leads to higher levels of cooperation, especially when both imitation and migration information accuracy are high.
CHAOS SOLITONS & FRACTALS
(2023)
Article
Genetics & Heredity
Zulma G. Vitezica, Andres Legarra, Miguel A. Toro, Luis Varona
Article
Agriculture, Dairy & Animal Science
M. A. Toro, M. Saura, J. Fernandez, B. Villanueva
JOURNAL OF ANIMAL BREEDING AND GENETICS
(2017)
Editorial Material
Agriculture, Dairy & Animal Science
G. de los Campos, M. A. Toro
JOURNAL OF ANIMAL BREEDING AND GENETICS
(2017)
Editorial Material
Agriculture, Dairy & Animal Science
M. A. Toro, A. Maki-Tanila
JOURNAL OF ANIMAL BREEDING AND GENETICS
(2018)
Review
Genetics & Heredity
Luis Varona, Andres Legarra, Miguel A. Toro, Zulma G. Vitezica
FRONTIERS IN GENETICS
(2018)
Article
Agriculture, Dairy & Animal Science
Sabrina Thaise Amorim, Sabrina Kluska, Mariana Piatto Berton, Marcos Vinicius Antunes de Lemos, Elisa Peripolli, Nedenia Bonvino Stafuzza, Jesus Fernandez Martin, Maria Saura Alvarez, Beatriz Villanueva Gavina, Miguel Angel Toro, Georgget Banchero, Priscila Silva Oliveira, Lais Grigoletto, Joanir Pereira Eler, Fernando Baldi, Jose Bento Sterman Ferraz
Article
Genetics & Heredity
Gustavo de los Campos, Daniel Alberto Sorensen, Miguel Angel Toro
G3-GENES GENOMES GENETICS
(2019)
Article
Biology
Laureano Castro, Miguel Angel Castro-Nogueira, Miguel Angel Toro
JOURNAL OF THEORETICAL BIOLOGY
(2019)
Article
Agriculture, Dairy & Animal Science
Miguel A. Toro, Beatriz Villanueva, Jesus Fernandez
JOURNAL OF ANIMAL BREEDING AND GENETICS
(2020)
Article
Genetics & Heredity
Elisabeth Morales-Gonzalez, Jesus Fernandez, Ricardo Pong-Wong, Miguel Angel Toro, Beatriz Villanueva
Summary: A main objective in conservation programs is to maintain genetic variability, and different genomic coancestry matrices can impact both the maintained genetic variability and the change in allele frequencies. The study found that using one matrix can increase genetic variability but also result in allele frequencies closer to those in the base population.
Article
Biochemistry & Molecular Biology
Elisabeth Morales-Gonzalez, Beatriz Villanueva, Miguel a. Toro, Jesus Fernandez
Summary: The Optimal Contribution (OC) method is the consensus method for maintaining genetic diversity in both undivided and subdivided populations. In subdivided populations, this method maximizes global genetic diversity by determining the optimal contribution of each candidate to each subpopulation, while balancing coancestry levels between and within subpopulations. Inbreeding can be controlled by increasing the weight given to within-subpopulation coancestry (lambda).
MOLECULAR ECOLOGY RESOURCES
(2023)
Meeting Abstract
Fisheries
M. Saura, B. Villanueva, J. Fernandez, M. A. Toro
Meeting Abstract
Fisheries
M. Saura, B. Villanueva, J. Fernandez, M. A. Toro
Meeting Abstract
Fisheries
J. M. Afonso, D. Negrin-Baez, I Lee-Montero, A. Navarro, N. Astorga, D. Montero, R. Gines, L. Robaina, M. Izquierdo, L. A. Garcia-Cortes, M. A. Toro, M. J. Zamorano
Meeting Abstract
Fisheries
P. Martinez, A. Pino-Querido, J. Guerra-Varela, B. G. Pardo, M. Vera, J. M. Alvarez-Castro, M. A. Toro, J. M. Fuentes, J. Blanco
