In a recent paper [Phys. Rev. E 86, 011134 (2012)], Mobilia introduces cooperation facilitators in the standard prisoner's dilemma game. He claims that natural selection favors the replacement of defection by cooperation in the weak-selection case if and only if their frequency satisfies a certain inequality. We show that this is not true, and we point out an error in the author's proof which follows from the improper handling of the large-population limit. In addition, we prove a stronger result that cooperation is favored for any selection strength if and only if the average payoff of cooperation is bigger than the average payoff of defection (which is a weaker condition than the author's inequality). We also show that, if we include self-interaction, then the presence of a fixed number of facilitators causes a rescaling of the payoff matrix, and for their certain frequency, cooperation becomes a dominant strategy, and the prisoner's dilemma simply disappears.
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http://dx.doi.org/10.1103/PhysRevE.88.046101 | DOI Listing |
J Theor Biol
January 2025
Center for Computational and Theoretical Biology, University of Wuerzburg, Klara-Oppenheimer-Weg 32, Wuerzburg, 97074, Germany; Department of Theoretical Biology, Max Planck Institute for Evolutionary Biology, August-Thienemann-Str. 2, Ploen, 24306, Germany.
Real-world processes often exhibit temporal separation between actions and reactions - a characteristic frequently ignored in many modelling frameworks. Adding temporal aspects, like time delays, introduces a higher complexity of problems and leads to models that are challenging to analyse and computationally expensive to solve. In this work, we propose an intermediate solution to resolve the issue in the framework of evolutionary game theory.
View Article and Find Full Text PDFJ Math Biol
January 2025
Laboratory of Mathematics and Complex Systems, Ministry of Education, School of Mathematical Sciences, Beijing Normal University, Beijing, People's Republic of China.
Networked evolutionary game theory is a well-established framework for modeling the evolution of social behavior in structured populations. Most of the existing studies in this field have focused on 2-strategy games on heterogeneous networks or n-strategy games on regular networks. In this paper, we consider n-strategy games on arbitrary networks under the pairwise comparison updating rule.
View Article and Find Full Text PDFACS Appl Bio Mater
January 2025
Unconventional Computing Laboratory, University of the West of England, Bristol BS16 1QY, U.K.
This study examines the relationship between chondroitin sulfate, proteinoids, and computational neuron models, with a specific emphasis on the Izhikevich neuron model. We investigate the effect of chondroitin sulfate-proteinoid complexes on the behavior and dynamics of simulated neurons. Through the use of computational simulations, we provide evidence that these biomolecular components have the power to regulate the responsiveness of neurons, the patterns of their firing, and the ability of their synapses to change within the Izhikevich architecture.
View Article and Find Full Text PDFFront Psychiatry
December 2024
Information Science and Engineering, University of Jinan, Jinan, China.
Background: Individuals with high autistic traits exhibit characteristics like those of individuals with autism, including impairments in sociability and communication skills. Whether individuals with high autistic traits exhibit less cooperation remains debated.
Methods: This study employed the prisoner's dilemma game (PDG) to measure cooperation in 56 dyads, including 27 with high-low (HL) autistic traits and 29 with low-low (LL) autistic traits, using functional near-infrared spectroscopy (fNIRS) hyperscanning technique.
Nonlinear Dynamics Psychol Life Sci
January 2025
Adelphi University, Garden City, NY.
We model an adaptive agent-based environment using selfish algorithm agents (SA-agents) that make decisions along three choice dimensions as they play the multi-round prisoner's dilemma game. The dynamics that emerge from mutual interactions among the SA-agents exhibit two collective-level properties that mirror living systems, thus making these models suitable for societal/biological simulation. The properties are: emergent intelligence and collective agency.
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