Asymmetrical interactions driven by strategic persistence effectively alleviate social dilemmas

Chaos Solitons & Fractals, Год журнала: 2024, Номер 184, С. 115054 - 115054

Опубликована: Май 25, 2024

Язык: Английский

---

Deterministic theory of evolutionary games on temporal networks

Journal of The Royal Society Interface, Год журнала: 2024, Номер 21(214)

Опубликована: Май 1, 2024

Recent empirical studies have revealed that social interactions among agents in realistic networks merely exist intermittently and occur a particular sequential order. However, it remains unexplored how to theoretically describe evolutionary dynamics of multiple strategies on temporal networks. Herein, we develop deterministic theory for studying any [Formula: see text] pairwise games structured populations where individuals are connected organized by temporally activated edges. In the limit weak selection, derive replicator-like equations with transformed payoff matrix characterizing mean frequency each strategy varies over time, then obtain critical conditions be evolutionarily stable Interestingly, re-scaled is linear combination original an additional one describing local competitions between pair different strategies, whose weights solely determined network topology selection intensity. As example, apply analysing impacts mini-ultimatum game, find networked population structures result emergence fairness. Our work offers theoretical insights into subtle effects temporality game dynamics.

Язык: Английский

---

Reconciling ecology and evolutionary game theory or “When not to think cooperation”

Proceedings of the National Academy of Sciences, Год журнала: 2025, Номер 122(14)

Опубликована: Март 31, 2025

Evolutionary game theory (EGT)—overwhelmingly employed today for the study of cooperation in various systems, from microbes to cancer and insect human societies—started with seminal 1973 paper by Maynard Smith Price showing that limited animal conflict can be selected at individual level. Owing explanatory potential this enabled powerful machinery soon-to-be-developed replicator dynamics, EGT took off an accelerated pace began shape expectations across systems scales. But, even as has expanded its reach, mathematical foundations development adaptive dynamics inclusion stochastic processes, equation remains, half a century later, most widely used equation. early staying power, helped set both baseline terminology field. However, much like original paper, rests on assumption differences reproduction are determined only payoff (i.e., isolation, all individuals, regardless their strategy, have identical intrinsic growth rates). Here, we argue limits scope such extent warrant not just more deliberative application process, but also reconsideration broad predictions it generated. Simultaneously, reestablish dialog ecology mutually fruitful, e.g., providing explanation how diverse ecological communities assemble evolutionarily.

Язык: Английский

---

Eco-evolutionary dynamics of cooperative antimicrobial resistance in a population of fluctuating volume and size

Journal of Physics A Mathematical and Theoretical, Год журнала: 2024, Номер 57(26), С. 265003 - 265003

Опубликована: Май 13, 2024

Abstract Antimicrobial resistance to drugs (AMR), a global threat human and animal health, is often regarded as resulting from cooperative behaviour. Moreover, microbes generally evolve in volatile environments that, together with demographic fluctuations (birth death events), drastically alter population size strain survival. Motivated by the need better understand evolution of AMR, we study time-varying consisting two competing strains, one drug-resistant drug-sensitive, subject environmental variability. This modelled binary carrying capacity randomly switching between mild harsh conditions, driving fluctuating volume (total amount nutrients antimicrobials at fixed concentration), thus community (number resistant sensitive cells). We assume that AMR shared public good when concentration cells exceeds cooperation threshold , above which has growth advantage, whereas dominate below it. Using computational means, devising an analytical treatment (built on suitable quenched annealed averaging procedures), fully characterise influence eco-evolutionary dynamics notably obtain specific fixation long-lasting coexistence probabilities function variation rate threshold. find microbial strains tend coexistence, but eventually lead extinction or for small large values threshold, respectively. also holds dynamic environments, whose properties determine timescale.

Язык: Английский

---

Coupled environmental and demographic fluctuations shape the evolution of cooperative antimicrobial resistance

Journal of The Royal Society Interface, Год журнала: 2023, Номер 20(208)

Опубликована: Ноя. 1, 2023

There is a pressing need to better understand how microbial populations respond antimicrobial drugs, and find mechanisms possibly eradicate antimicrobial-resistant cells. The inactivation of antimicrobials by resistant microbes can often be viewed as cooperative behaviour leading the coexistence sensitive cells in large static environments. This picture is, however, greatly altered fluctuations arising volatile environments, which communities commonly evolve. Here, we study eco-evolutionary dynamics population consisting an strain drugs time-fluctuating environment, modelled carrying capacity randomly switching between states abundance scarcity. We assume that resistance (AMR) shared public good when number exceeds certain threshold. Eco-evolutionary thus characterised demographic noise (birth death events) coupled environmental cause bottlenecks. By combining analytical computational means, determine conditions for long-lived fixation both strains, characterise fluctuation-driven AMR eradication mechanism, where experience bottlenecks extinction. also discuss possible applications our findings laboratory-controlled experiments.

Язык: Английский

---

Reconciling ecology and evolutionary game theory or When not to think cooperation

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Июль 15, 2024

Abstract Evolutionary game theory (EGT)—overwhelmingly employed today for the study of cooperation in a variety systems, from microbes to cancer and insect human societies—started with seminal 1973 paper by John Maynard Smith George Price [1], which they probed logic limited war animal conflict. If fighting was essential get access mates territory, then why did fights rarely lead serious injury? developed show that can be selected at individual level. Owing explanatory potential this first paper, enabled elegant powerful machinery soon-to-be-developed replicator dynamics [2, 3], EGT took off an accelerated pace began shape expectations across systems scales. But, even as it expanded its reach animals [4–8] [9–11], field not revisit fundamental assumption subsequently got weaved into very fabric framework—that differences reproduction are determined only payoff (i.e. isolation, all individuals, regardless strategy, were assumed have identical intrinsic growth rates). Here, we argue original substantially limits scope EGT. because is explicitly presented caveat, predictions been empirically tested broadly real where rates generally equal. That has, unsurprisingly, led puzzling findings contentious debates [7, 12–15]. Flagging high confusion arise applications empirical designed suggesting way forward constitute our main motivation work. In process, reestablish dialog ecology fruitful both ways, e.g., providing so-far-elusive explanation how diverse ecological communities assemble evolutionarily.

Язык: Английский

---

The evolution of social behaviors and risk preferences in settings with uncertainty

Proceedings of the National Academy of Sciences, Год журнала: 2024, Номер 121(30)

Опубликована: Июль 17, 2024

Humans update their social behavior in response to past experiences and changing environments. Behavioral decisions are further complicated by uncertainty the outcome of interactions. Faced with uncertainty, some individuals exhibit risk aversion while others seek risk. Attitudes toward may depend on socioeconomic status; preferences over time, which will feedback behavior. Here, we study how shape evolution behaviors. We extend game-theoretic framework for behavioral incorporate about payoffs variation respond this uncertainty. find that different attitudes can substantially alter long-term outcomes, as optimize rewards from In a standard setting without risk, example, defection always overtakes well-mixed population engaged classic Prisoner's Dilemma, whereas reverse direction evolution, promoting cooperation defection. When along strategic behaviors, oscillate between periods dominated risk-averse cooperators risk-seeking defectors. Our analysis provides systematic account modulate, even coevolve with, an uncertain world.

Язык: Английский

---

Eco-evolutionary dynamics for finite populations and the noise-induced reversal of selection

The American Naturalist, Год журнала: 2024, Номер unknown, С. 000 - 000

Опубликована: Сен. 18, 2024

AbstractTheoretical studies from diverse areas of population biology have shown that demographic stochasticity can substantially impact evolutionary dynamics in finite populations, including scenarios where traits are disfavored by natural selection nevertheless increase frequency through the course evolution. Here, we analytically describe eco-evolutionary populations first principles. We investigate how noise-induced effects alter fate which total size may vary stochastically over time. Starting a generic birth-death process, derive set stochastic differential equations (SDEs) individuals bearing discrete traits. Our recover well-known descriptions dynamics, such as replicator-mutator equation, Price and Fisher's fundamental theorem infinite limit. For our SDEs reveal predictably bias trajectories to favor certain traits, phenomenon call "noise-induced biasing." show biasing acts two distinct mechanisms, "direct" "indirect" mechanisms. While direct mechanism be identified with classic bet-hedging theory, indirect is more subtle consequence frequency- density-dependent stochasticity. lead evolution proceeding direction opposite predicted By extending generalizing some standard genetics, thus appears alongside, interacts with, well-understood forces neutral drift determine nonconstant size.

Язык: Английский

---

Dynamics of opinion formation, social power evolution, and naïve learning in social networks

Annual Reviews in Control, Год журнала: 2023, Номер 55, С. 182 - 193

Опубликована: Янв. 1, 2023

Язык: Английский

---

Coexistence of Competing Microbial Strains under Twofold Environmental Variability and Demographic Fluctuations

New Journal of Physics, Год журнала: 2023, Номер 25(12), С. 123010 - 123010

Опубликована: Ноя. 16, 2023

Abstract Microbial populations generally evolve in volatile environments, under conditions fluctuating between harsh and mild, e.g. as the result of sudden changes toxin concentration or nutrient abundance. Environmental variability (EV) thus shapes long-time population dynamics, notably by influencing ability different strains microorganisms to coexist. Inspired evolution antimicrobial resistance, we study dynamics a community consisting two competing subject twofold EV. The level varies time, favouring growth one strain low drug other when is high. We also model time-changing resource abundance randomly switching carrying capacity that drives size community. While dominates static environment, show species coexistence possible presence By computational analytical means, determine environmental which long-lived it almost certain. Notably, circumstances demographic fluctuations promote, hinder, coexistence. how make-up phase average each depend on

Язык: Английский

---