Results 281 to 290 of about 4,294,209 (341)
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Instability of departure time choice problem: A case with replicator dynamics
Transportation Research Part B: Methodological, 2019Stability is an important condition for equilibrium solutions to be realised in a real transport system. If the solution is not stable, it is vulnerable to a small perturbation onto the system, and consequently equilibrium would not be observed in the ...
T. Iryo
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Weak selection and stochastic evolutionary stability in a stochastic replicator dynamics.
Journal of Theoretical Biology, 2023It is a very challenging problem whether natural selection is able to effectively resist the continuous disturbance of environmental noise such that the direction or outcome of evolution determined by the deterministic selection pressure will not be ...
Cong Li +4 more
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Replicator dynamics of public goods games with global exclusion.
Chaos, 2022Studies to date on the role of social exclusion in public cooperation have mainly focused on the peer or pool sanctioning types of excluding free-riders from the share of common goods.
Xiaofeng Wang, M. Perc
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Stochastic replicator dynamics and evolutionary stability.
Physical Review E, 2022To develop the concept of evolutionary stability in a stochastic environment, we investigate the continuous-time dynamics of a two-phenotype linear evolutionary game with generally correlated random payoffs in pairwise interactions.
Tian-jiao Feng +4 more
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Replicator dynamics for involution in an infinite well-mixed population
Physics Letters, 2021We propose a new type of group game, the involution game. The group resources are fixed, and individuals compete for the fixed resources by effort. We assume binary strategies: more effort and less effort.
Chaoqian Wang, K. Hui
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Structural and Multidisciplinary Optimization, 2017
Mariantonieta Gutierrez Soto, H. Adeli
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Mariantonieta Gutierrez Soto, H. Adeli
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Neural Replicator Dynamics: Multiagent Learning via Hedging Policy Gradients
Adaptive Agents and Multi-Agent Systems, 2020Policy gradient and actor-critic algorithms form the basis of many commonly used training techniques in deep reinforcement learning. Using these algorithms in multiagent environments poses problems such as nonstationarity and instability.
Daniel Hennes +10 more
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Journal of Theoretical Biology, 2020
Social-ecological models are often used to investigate the mutual interactions between an ecological system and human behaviour at a collective level.
T. Sun, F. Hilker
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Social-ecological models are often used to investigate the mutual interactions between an ecological system and human behaviour at a collective level.
T. Sun, F. Hilker
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Semi-active vibration control of smart isolated highway bridge structures using replicator dynamics
Engineering structures, 2019In the past two decades, passive control strategies using isolation and fluid dampers have been employed for the seismic protection of bridge highway structures.
Mariantonieta Gutierrez Soto, H. Adeli
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