Exploring Complexity in Aquatic Ecosystems
Nelson Fernández. Hydroinformatics Research Laboratory, Pamplona Unversity (Colombia)
In this seminar we will present how formal measures of emergence, self-organization, complexity, homeostasis, and autopoiesis based on information theory can be applied to the study of aquatic ecoystems. We define emergence as the information produced by a system. Self-organization is defined as the opposite of emergence, while complexity is defined as the balance between emergence and self-organization. Homeostasis reflects the stability of system coinciding with the variation of seasonal periods. Autopoiesis is defined as the ratio between the complexity of a system and the complexity of its environment, reflecting a higher degree of autonomy of some components (physiochemical and biological) over others. This approach illustrates how ecological dynamics can be described in terms of information.
See also:
http://arxiv.org/abs/1304.1842
http://arxiv.org/abs/1305.5413
Video at http://bambuser.com/v/3808859