Chaos in low-dimensional Lotka–Volterra models of competition
By J. Vano, J. Wildenberg, M. Anderson, J. Noel, Julien Clinton Sprott. 2006
163 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Economics and Econometrics, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/98719d5dda81ab66c55526f1063535b41af7e045
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Michael Ghil
- James Lam
- Yuebing Hu
- Michael Breakspear
- Mickaël D. Chekroun
- Housheng Su
- A. Jungel
- Andrew Zalesky
In Economics and Econometrics
In Statistical and Nonlinear Physics
- D. Kondrashov
- Michael Breakspear
- Michael Ghil
- Yuebing Hu
- James Lam
- Mickaël D. Chekroun
- Housheng Su
- A. Jungel
Citations in the corpus
- Criticality in the brain: A synthesis of neurobiology, models and cognition. (2017, background): “For three or more interacting species, further bifurcations to more complex dynamics can occur, leading from periodic to chaotic oscillations (smooth and deterministic but aperiodic oscillations) (Arneodo et al., 1980; Vano et al., 2006).”
- Data-driven non-Markovian closure models (2014, background): “These parameter values are those used in [133, 134], for which numerical evidence of chaos is well established.”
- Adaptive consensus with a virtual leader of multiple agents governed by locally Lipschitz nonlinearity (2013, methodology): “Examples include the Lorenz-like system [22], the FitzHugh–Rinzel system [23], the Rössler system [24], and the Lotka–Volterra model of multiple competitive species [25].”
- Diffusive and nondiffusive population models (2010, background): “For instance, chaos has been observed in models with four competing species (see [ 142 ] and the references therein).”