Evolutionary Dynamics: Exploring the Equations of Life
By Martin A. Nowak. 2006
1,025 citations recorded by the source corpus.
Subfields: Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/79053e79dde460106b1590722a544e94502a45b3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Sociology and Political Science
- Matjaz Perc
- Attila Szolnoki
- Mark Broom
- Jan Rychtár
- Zhen Wang
- Taraneh Sowlati
- Nazanin Shabani
- B. Stadler
Citations in the corpus
- Proximal Reinforcement Learning: A New Theory of Sequential Decision Making in Primal-Dual Spaces (2014, neutral): “The concept of equilibrium plays a key role in understanding not only the Internet, but also other networked systems, such as human migration [116], evolutionary dynamics and the spread of infectious diseases [117], and social networks [118].”
- α-Rank: Multi-Agent Evaluation by Evolution (2019, neutral): “From the theoretical biology perspective, researchers have additionally deployed discrete-time evolutionary dynamics models [83].”
- An analysis of the fixation probability of a mutant on special classes of non-directed graphs (2008, positive): “(2005), see also Nowak (2006). We treat the dynamics as a discrete time Markov chain.”
- Tumor heterogeneity: causes and consequences (2009, neutral): “can undergo expansions due to genetic drift [74] and can sometimes reach fixation in small tumors [75,76].”
- Noise-guided evolution within cyclical interactions (2007, neutral): “Cyclical interactions, the simplest non-trivial example being the children’s rock-scissors-paper game, are despite their apparent simplicity fascinating examples of evolutionary processes [1, 2].”
- Colloquium: Criticality and dynamical scaling in living systems (2017, neutral): “It remains to be clarified how could adaptive (GellMann, 1994; Gros, 2008) and/or evolutionary (Nowak, 2006) mechanisms, specific of living systems36, lead biological networks to operate close to criticality.”
- Paths to the adoption of electric vehicles: An evolutionary game theoretical approach (2018, neutral): “In specific cases, this inequality also provides information regarding the eventual risk-dominance of each strategy (Nowak 2006).”