Article
Physics, Fluids & Plasmas
Kaipeng Hu, Pengyue Wang, Junzhou He, Matjaz Perc, Lei Shi
Summary: This study investigates the interactions among individuals in different populations, finding that interactions across multiple populations can promote the evolution of cooperation depending on the level of interaction asymmetry. If interactions within and between populations are symmetric, the presence of multiple populations alone can promote the evolution of cooperation. Asymmetric interactions can further promote cooperation but at the expense of the coexistence of competing strategies.
Article
Mathematics, Applied
Takuya Sekiguchi
Summary: In this study, we investigate the consequences of stochastic evolutionary dynamics of trimatrix games in finite populations. We analyze the stationary distribution of strategy frequencies and apply the findings to specific games relevant to three-person social relationships. We compare our results with previous studies and find that strategies not supported by those studies are frequently observed in our dynamics. The implication for cooperative relationships is also discussed.
APPLIED MATHEMATICS AND COMPUTATION
(2023)
Article
Multidisciplinary Sciences
Kaloyan Danovski, Markus Brede
Summary: This study proposes an evolutionary model for the emergence of shared linguistic convention in a population of agents using complex networks. Through agent-based simulations, the study shows a process of convergence towards a common language and explores the impact of the underlying network topology on its dynamics. The study finds that small-world effects accelerate convergence but do not affect the communicative efficiency of common languages. Additionally, the study differentiates between vertical and oblique transmission as learning methods and concludes that vertical transmission leads to faster convergence and higher communicability. The study also demonstrates an exclusion effect in adaptive network settings where agents attempt to reconnect with better communicators, leading to the formation of core-periphery networks.
Article
Biology
Christopher E. Overton, Kieran J. Sharkey
Summary: As ecosystems evolve, environmental fluctuations can lead to species extinction and trigger evolutionary adaptation known as bet-hedging. Adding competition structure to the population has a significant impact on the evolutionary process of within-generational variation, highlighting its importance especially in small local population sizes. These findings challenge the widely held view that only between-generational environmental variation affects natural selection, providing a theoretical basis for further empirical study in this largely unexplored area.
JOURNAL OF MATHEMATICAL BIOLOGY
(2021)
Article
Ecology
John P. DeLong, Clayton E. Cressler
Summary: This study evaluates the impact of stochastic processes such as genetic drift on adaptation and finds that stochasticity can alter population dynamics and lead to evolutionary outcomes that are not predicted by classic eco-evolutionary modeling approaches. However, these outcomes are governed by nonequilibrium evolutionary attractors, which are maxima in lifetime reproductive success when stochasticity keeps the ecological system away from the deterministic equilibrium. These NEEAs alter the path of evolution but are not visible through the equilibrium lens of much evolutionary theory. The results reveal the importance of considering population processes during transient periods for a better understanding of the path and pace of evolution.
Article
Thermodynamics
Tony John, Vishal Acharya, Mirko Bothien, Timothy Lieuwen
Summary: Practical combustion systems consist of linearly stable or unstable thermoacoustic modes at a wide range of frequencies. The frequency spacing between the modes significantly affects their stability and existence of limit cycle solutions. This paper studies the effects of noise on deterministic dynamics and the impact of frequency spacing, highlighting that a low noise analysis is insufficient to explain critical features of the system in highly noisy environments. Furthermore, noise-induced effects on nonlinear modal interactions can vary fundamentally based on the degenerate, closely spaced, or widely spaced modes.
COMBUSTION AND FLAME
(2023)
Article
Biology
Sarah Broyde, Matthew Dempsey, Linjie Wang, Philip G. Cox, Michael Fagan, Karl T. Bates
Summary: Biomechanical modelling is a useful tool for studying the evolution of functional performance in extinct animals, but reconstructions of soft tissue properties in current models face challenges. The qualitative and quantitative differences in reconstructions have a significant impact on predicting evolutionary patterns in macroevolutionary studies.
PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
(2021)
Article
Engineering, Mechanical
Wenman Chen, Ji Quan, Xianjia Wang, Yang Liu
Summary: This paper examines a population affected by changing evolutionary environments with both payoff noise and demographic noise. Two types of changing environments are discussed, one with deterministic fluctuations and the other with stochastic fluctuations. The results show that a fluctuating environment with the two noises promotes cooperation, and a deterministic environment is better at promoting cooperation than a stochastic environment.
NONLINEAR DYNAMICS
(2023)
Article
Ecology
Sebastien Lion, Mike Boots, Akira Sasaki
Summary: In this study, the authors extended an oligomorphic approximation method to class-structured populations, which allows for the joint description of ecological variables and multimodal trait distributions. They also introduced a new approximation method using reproductive values to simplify eco-evolutionary dynamics. The effectiveness of this approach was illustrated using the case of two-habitat migration-selection models.
AMERICAN NATURALIST
(2022)
Article
Biology
Cong Li, Tianjia Feng, Yi Tao, Xiudeng Zheng, Jiajia Wu
Summary: This article examines whether natural selection can effectively resist the continuous disturbance of environmental noise in order to maintain the direction or outcome of evolution determined by deterministic selection pressure. By analyzing the impact of weak selection on stochastic replicator dynamics, it is found that weak selection can enhance evolutionary stability. Under weak selection, the stochastic evolutionary stability of the system is determined by the mean payoff matrix. This finding strongly suggests that weak selection should be regarded as an important mechanism for ensuring evolutionary stability in stochastic environments.
JOURNAL OF THEORETICAL BIOLOGY
(2023)
Article
Automation & Control Systems
Gui-Hua Zhao, Xue Zhang
Summary: In this paper, the finite-time stabilization of a class of nonlocal Lipschitzian stochastic nonlinear systems with Markovian switching and stochastic inverse dynamics is investigated. The finite-time stability theory for stochastic nonlinear systems with Markovian switching under the framework of weak solutions is presented. Furthermore, a finite-time controller with state feedback is constructed for a class of stochastic high-order nonlinear systems with Markovian switching and stochastic inverse dynamics. It is proved that the trivial weak solution of the closed-loop system is globally finite-time stable in probability. Finally, the effectiveness of the proposed design method is verified through a simulation example.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Review
Mathematics, Applied
Lijun Hong, Yini Geng, Chunpeng Du, Chen Shen, Lei Shi
Summary: The study found that the effectiveness of the average payoff-driven update rule for promoting cooperation depends on whether a reciprocity mechanism exists, and under certain conditions, the imitation update rule is more effective.
APPLIED MATHEMATICS AND COMPUTATION
(2021)
Article
Multidisciplinary Sciences
Serhii Aif, Nico Appold, Lucas Kampman, Oskar Hallatschek, Jona Kayser
Summary: Mutation-mediated treatment resistance is a major challenge in antibiotic and anti-cancer therapy. Emerging resistant lineages can escape purifying selection through compensatory mutations. In dense microbial populations, the probability of evolutionary rescue and the long-term persistence of drug resistant mutant lineages are significantly increased.
NATURE COMMUNICATIONS
(2022)
Article
Physics, Multidisciplinary
Orestes Tumbarell Aranda, Andre L. A. Penna, Fernando A. Oliveira
Summary: This work establishes a deterministic equation for a generalized nonlocal population dynamics that relies on two length parameters (alpha, beta) and associates these parameters with reproduction, competition, and pattern formation in bacterial dynamics. The proposed stochastic cellular automaton is formulated based on the states defined by each set of parameters, aiming to describe the evolutionary dynamics of a bacterial colony. The evolution of the colony towards a maximum population allowed in a given niche determines the final pattern, selecting for bacteria more capable of sharing space.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2021)
Article
Physics, Multidisciplinary
Jianhong Ke, Ping-Ping Li, Zhenquan Lin
Summary: The study focuses on the evolutionary snowdrift game with an update rule of dissatisfaction-driven replicator on regular lattices. The equilibrium cooperation frequency fc against the cost-to-benefit ratio r has a step-like piecewise structure when dissatisfaction threshold K is small and transitions to a typical continuous form with increasing K. Analysis of stability and microscopic evolution helps interpret the emergence and disappearance of discontinuous transitions at critical values of r and snapshots of spatial strategy distribution patterns display the system's evolution. Numerical simulations show coexistence of cooperators and defectors for r < 2/3 and pure phase with only defectors for r > 3/4, with results consistent with those obtained by the master equation approach.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Multidisciplinary Sciences
Katherine Royce, Feng Fu
Article
Multidisciplinary Sciences
Jonathan Meng, Feng Fu
ROYAL SOCIETY OPEN SCIENCE
(2020)
Article
Physics, Multidisciplinary
Xin Wang, Antonio D. Sirianni, Shaoting Tang, Zhiming Zheng, Feng Fu
Article
Multidisciplinary Sciences
Matthew Jones, Scott D. Pauls, Feng Fu
Summary: Global coordination is essential to solving challenging collective action problems, recent empirical studies show that the presence of noisy autonomous agents can greatly improve human performance in solving network coordination problems. The efficacy of resolving color conflicts depends on the implementation of random behavior of agents and specific population characteristics.
Article
Economics
Kevin Hu, Feng Fu
Summary: This research examines the impacts of technology, policy, and markets on preferences for gig labor within the gig economy using a game-theoretical approach. The study presents new conceptual extensions to the replicator equation and models oscillating dynamics in two-player asymmetric bi-matrix games. It demonstrates how changing market conditions result in distinct evolutionary patterns across labor economies and analyzes the role of technology on the growth of the gig economy through a novel payoff framework.
Article
Physics, Multidisciplinary
Matthew Jones, Scott D. Pauls, Feng Fu
Summary: The study shows that in the distributed graph coloring problem, anti-coordination games and coordination games are equally difficult to solve, as they are dual problems and have specific individual stochastic decision-making rules.
NEW JOURNAL OF PHYSICS
(2021)
Article
Multidisciplinary Sciences
Xingru Chen, Feng Fu
Summary: China's massive lockdowns and travel restrictions have effectively controlled the spread of COVID-19. Analyzing changes in mobility patterns, we found that reduced mobility before and during the lockdown period had a significant impact on disease transmission. Highly coordinated nationwide lockdowns played a crucial role in mitigating and controlling early-stage outbreaks and preventing a massive health crisis.
PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
(2022)
Article
Physics, Multidisciplinary
Xingru Chen, Long Wang, Feng Fu
Summary: The advent of zero-determinant (ZD) strategies has transformed the study of reciprocity and cooperation in iterated prisoner's dilemma games. Our work provides intuitive geometric relationships between different classes of ZD strategies and nontrivial geometric interpretations of their specific parameterizations. The adaptive dynamics of ZD strategies reveals the unexpected connection between general ZD strategies and equalizers, and sheds light on the simple but elegant geometry of ZD strategies that has been previously overlooked.
NEW JOURNAL OF PHYSICS
(2022)
Article
Multidisciplinary Sciences
Longmei Shu, Feng Fu
Summary: This article discusses the feedback relationship between strategies and the environment in social-ecological, evolutionary ecological, and psychological-economic systems. It also proposes a solution to the dilemma of using common resources through replicator dynamics with feedback-evolving games. The research shows that persistent oscillations of strategy abundance can be achieved by designing appropriate switching control laws.
PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
(2022)
Article
Biology
Elizabeth A. Tripp, Feng Fu, Scott D. Pauls
Summary: Biological systems have various time-keeping mechanisms, and understanding the evolutionary development of these mechanisms is crucial. This study introduces a new evolutionary game theoretic framework to model the behavior and evolution of systems of coupled oscillators, shedding light on the relationship between synchronization and connectivity.
PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
(2022)
Editorial Material
Biology
Xingru Chen, Feng Fu
PHYSICS OF LIFE REVIEWS
(2023)
Article
Multidisciplinary Sciences
Xingru Chen, Feng Fu
Summary: Recent theory suggests that extortioners using the zero-determinant (ZD) strategy can claim an unfair share in the Iterated Prisoner's Dilemma. However, experiments show that human players often resist extortion due to concerns of fairness, causing extortioners to suffer greater losses. This study reveals fair-minded strategies that can defeat extortion and promote cooperation, ultimately leading to a just and cooperative society.
Article
Multidisciplinary Sciences
Ho-Chun Herbert Chang, Brooke Harrington, Feng Fu, Daniel N. Rockmore
Summary: This study explores the role of professional intermediaries in the evasion of sanctions by oligarchs and suggests that targeting these intermediaries may be more effective in disrupting dark finance flows than sanctions on the oligarchs themselves.
Article
Humanities, Multidisciplinary
Matthew Jones, Antonio D. Sirianni, Feng Fu
Summary: The median voter theorem suggests that competing candidates tend to move towards the center of the ideological distribution to maximize vote share, regardless of voter preferences. However, in the age of polarization, where voters are more inclined towards extreme positions, this theorem may no longer hold true.
HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS
(2022)
Article
Humanities, Multidisciplinary
Ho-Chun Herbert Chang, Feng Fu
Summary: By analyzing the elite circles formed around Fields Medalists, the study reveals the flow of elite mathematicians between countries and linguistic-ethnic identities. It shows an increase in pluralism among major countries in the mathematics field, although Arabic, African, and East Asian identities remain under-represented at the elite level.
HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS
(2021)
Article
Biology
Iain Hunter, Raz Leib
Summary: Natural movement is related to health, but it is difficult to measure. Existing methods cannot capture the full range of natural movement. Comparing movement across different species helps identify common biomechanical and computational principles. Developing a system to quantify movement in freely moving animals in natural environments and relating it to life quality is crucial. This study proposes a theoretical framework based on movement ability and validates it in Drosophila.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Andy Gardner
Summary: Fisher's geometric model is a useful tool for predicting key properties of Darwinian adaptation, and here it is applied to predict differences between the evolution of altruistic versus nonsocial phenotypes. The results suggest that the effect size maximizing probability of fixation is smaller in the context of altruism and larger in the context of nonsocial phenotypes, leading to lower overall probability of fixation for altruism and higher overall probability of fixation for nonsocial phenotypes.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Thomas F. Pak, Joe Pitt-Francis, Ruth E. Baker
Summary: Cell competition is a process where cells interact in multicellular organisms to determine a winner or loser status, with loser cells being eliminated through programmed cell death. The winner cells then populate the tissue. The outcome of cell competition is context-dependent, as the same cell type can win or lose depending on the competing cell type. This paper proposes a mathematical framework to study the emergence of winner or loser status, highlighting the role of active cell death and identifying the factors that drive cell competition in a cell-based modeling context.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Haruto Tomizuka, Yuuya Tachiki
Summary: Batesian mimicry is a strategy in which palatable prey species resemble unpalatable prey species to avoid predation. The evolution of this mimicry plays a crucial role in protecting the unpalatable species from extinction.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Jason W. Olejarz, Martin A. Nowak
Summary: Gene drive technology shows potential for population control, but its release may have unpredictable consequences. The study suggests that the failure of suppression is a natural outcome, and there are complex dynamics among wild populations.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Hamid Ravaee, Mohammad Hossein Manshaei, Mehran Safayani, Javad Salimi Sartakhti
Summary: Gene expression analysis is valuable for cancer classification and phenotype identification. IP3G, based on Generative Adversarial Networks, enhances gene expression data and discovers phenotypes in an unsupervised manner. By converting gene expression profiles into images and utilizing IP3G, new phenotype profiles can be generated, improving classification accuracy.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Beatrix Rahnsch, Leila Taghizadeh
Summary: This study forecasts the evolution of the COVID-19 pandemic in Germany using a network-based inference method and compares it with other approaches. The results show that the network-inference based approach outperforms other methods in short-to mid-term predictions, even with limited information about the new disease. Furthermore, predictions based on the estimation of the reproduction number in Germany can yield more reliable results with increasing data availability, but still cannot surpass the network-inference based algorithm.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Rongsheng Huang, Qiaojun Situ, Jinzhi Lei
Summary: Maintaining tissue homeostasis requires appropriate regulation of stem cell differentiation. Random inheritance of epigenetic states plays a pivotal role in stem cell differentiation. This computational model provides valuable insights into the intricate mechanism governing stem cell differentiation and cell reprogramming, offering a promising path for enhancing the field of regenerative medicine.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Patrick Vincent N. Lubenia, Eduardo R. Mendoza, Angelyn R. Lao
Summary: This study compares insulin signaling in healthy and type 2 diabetes states using reaction network analysis. The results show similarities and differences between the two conditions, providing insights into the mechanisms of insulin resistance, including the involvement of other complexes, less restrictive interplay between species, and loss of concentration robustness in GLUT4.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Nuverah Mohsin, Heiko Enderling, Renee Brady-Nicholls, Mohammad U. Zahid
Summary: Mathematical modeling is crucial in understanding radiobiology and designing treatment approaches in radiotherapy for cancer. This study compares three tumor volume dynamics models and analyzes the implications of model selection. A new metric, the point of maximum reduction of tumor volume (MRV), is introduced to quantify the impact of radiotherapy. The results emphasize the importance of caution in selecting models of response to radiotherapy due to the artifacts imposed by each model.
JOURNAL OF THEORETICAL BIOLOGY
(2024)
Article
Biology
Armindo Salvador
Summary: Michael Savageau's Biochemical Systems Analysis papers have had a significant impact on Systems Biology, generating core concepts and tools. This article provides a brief summary of these papers and discusses the most relevant developments in Biochemical Systems Theory since their publication.
JOURNAL OF THEORETICAL BIOLOGY
(2024)