New Approach to Modeling Symbiosis in Biological and Social Systems
V.I. Yukalov, E.P. Yukalova, and D. Sornette

TL;DR
This paper introduces a nonlinear framework for modeling symbiosis in biological and social systems, capturing various interaction types and analyzing complex dynamical behaviors including coexistence, oscillations, and regime shifts.
Contribution
It presents a unified nonlinear approach to model different symbiosis types, extending beyond traditional linear models, and analyzes their dynamical regimes and bifurcations.
Findings
Multiple dynamical regimes identified, including coexistence and oscillations.
Bifurcation analysis reveals how parameter changes affect system behavior.
Unified scheme encompasses mutualism, commensalism, and parasitism.
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…
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Taxonomy
TopicsEvolutionary Game Theory and Cooperation · Evolution and Genetic Dynamics · Plant and animal studies
