New Approach to Modeling Symbiosis in Biological and Social Systems
arXiv:1408.0111 · doi:10.1142/S021812741450117X
Abstract
We suggest a novel approach to treating symbiotic relations between biological species or social entities. The main idea is the characterisation of symbiotic relations of coexisting species through their mutual influence on their respective carrying capacities, taking into account that this influence can be quite strong and requires a nonlinear functional framework. We distinguish three variants of mutual influence, representing the main types of relations between species: (i) passive symbiosis, when the mutual carrying capacities are influenced by other species without their direct interactions; (ii) active symbiosis, when the carrying capacities are transformed by interacting species; and (iii) mixed symbiosis, when the carrying capacity of one species is influenced by direct interactions, while that of the other species is not. The approach allows us to describe all kinds of symbiosis, mutualism, commensalism, and parasitism within a unified scheme. The case of two symbiotic species is analysed in detail, demonstrating several dynamical regimes of coexistence, unbounded growth of both populations, growth of one and elimination of the other population, convergence to evolutionary stable states, and everlasting population oscillations. The change of the dynamical regimes occurs by varying the system parameters characterising the destruction or creation of the mutual carrying capacities. The regime changes are associated with several dynamical system bifurcations.
arXiv commentLatex file, 38 pages, 20 figures
References in corpus (14)
- Coevolutionary games - a mini review
- Evolutionary dynamics of group interactions on structured populations: A review
- Self-organization of punishment in structured populations
- Effectiveness of conditional punishment for the evolution of public cooperation
- Information sharing promotes prosocial behaviour
- Self-Similar Exponential Approximants
- Temporal Dynamics in Perturbation Theory
- Algebraic Self-Similar Renormalization in Theory of Critical Phenomena
- Extreme events in population dynamics with functional carrying capacity
- Renormalization Group Analysis of October Market Crashes
- Weighted Fixed Points in Self-Similar Analysis of Time Series
- Booms and Crashes in Self-Similar Markets
- Resummation Methods for Analyzing Time Series
- Reconstructing Generalized Exponential Laws by Self-Similar Exponential Approximants