2Ecosystem Modeling: A Generic Method of Analysis

It is argued that natural logic is full of shadows;

it demonstrates mathematical logic, lightness.

So who has reason? The one who seeks what separates them or the one who seeks what unites them?

J.B. Grize

Complexity saves logic like a hygienic thought and makes transgressions like a thought mutilator.

Edgar Morin1

We live in an increasingly complex world whose analysis is also becoming increasingly complex. It can only be envisaged through collectively organizing our intelligence. There are examples of an epistemological framework whose purpose is to guide the researcher in their analysis. The one proposed by A. Coutant and J.-C. Domenget [COU 14] is particularly interesting because it is dedicated to scientific investigations of unstabilized phenomena whose fleeting nature recalls the context of an ecosystem. However, we will deviate from this approach. We will look more at the advantages found in the proposals of Mioara Mugur-Schächter [MUG 06] or Pierre Lévy [LÉV 11] whose ambition is at a more generic level. Our purpose is less about the expression of ideas than the algorithmic processing of their symbolic expressions.

In other words, what interests us here concerns less the description of a semantic terroir, that is, a sign system whose meaning evolves according to the place and the temporal fluctuations, but rather the modeling of the seeds that will grow in this terroir.

To carry out this project, it is necessary ...

Get Ecosystems Knowledge now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.