2020/05/31 by Luis Rodrigo Torres Neves, Luis R. T. Neves, Leonardo Paulo Maia
Biochemistry, Genetics and Molecular Biology · Medicine · Social Sciences · #Artificial intelligence #Biology #Competition (biology) #Computer science #Demography #Ecology #Epistemology #Evolution and Genetic Dynamics #Evolutionary Game Theory and Cooperation #Intraspecific competition #Logistic function #Machine learning #Mathematical and Theoretical Epidemiology and Ecology Models #Phenomenology (philosophy) #Physics #Population #Population growth #Population model #Scope (computer science) #Simple (philosophy) #Sociology #Statistical physics #Variety (cybernetics) #q-bio.PE
paper · pdf · doi:10.1016/j.physa.2020.125721
11 pages, 7 figures
arxiv created 2020/11/30 · openalex publication_date 2020/12/31 · arxiv updated 2021/01/08 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
We address a novel approach for stochastic individual-based modelling of a single species population. Individuals are distinguished by their remaining lifetimes, which are regulated by the interplay between the inexorable running of time and the individual’s nourishment history. A food-limited environment induces intraspecific competition and henceforth the carrying capacity of the medium may be finite, often emulating the qualitative features of logistic growth. Inherently non-logistic behaviour is also obtained by suitable change of the few parameters involved, composing a wide variety of dynamical features. Some analytical results are obtained. Beyond the rich phenomenology observed, we expect that possible modifications of our model may account for an even broader scope of collective population growth phenomena.