Competition and evolution in virtual plant communities: a new modeling approach |
| |
Authors: | Stefan Bornhofen Claude Lattaud |
| |
Affiliation: | (1) Laboratoire d’Intelligence Artificielle de Paris 5 LIAP5, Université Paris Descartes, 45, rue des Saints-Pères, 75006 Paris, France |
| |
Abstract: | This article presents studies on plants and their communities through experiments with a multi-agent platform of generic virtual
plants. Based on Artificial Life concepts, the model has been designed for long-term simulations spanning a large number of
generations while emphasizing the most important morphological and physiological aspects of a single plant. The virtual plants
combine a physiological transport-resistance model with a morphological model using the L-system formalism and grow in a simplified
3D artificial ecosystem. Experiments at three different scales are carried out and compared to observations on real plant
species. At the individual level, single virtual plants are grown in order to examine their responses to environmental constraints.
A number of emerging characteristics concerning individual plant growth can be observed. Unifying field observation, mathematical
theory and computer simulation, population level experiments on intraspecific and interspecific competition for resources
are related to corresponding aggregate models of population dynamics. The latter provide a more general understanding of the
experiments with respect to long-term trends and equilibrium conditions. Studies at the evolutionary level aim at morphogenesis
and the influence of competition on plant morphology. Among other results, it is shown how the struggle for resources induces
an arms race that leads to the evolution of elongated growth in contrast to rather ample forms at ground-level when the plants
evolve in isolation. |
| |
Keywords: | Artificial evolution Artificial life Multi-agent system Plant modeling Population dynamics |
本文献已被 SpringerLink 等数据库收录! |
|