Characterizing self-organization and coevolution by ergodic invariants.
In addition to the emergent complexity of patterns that appeaxs when many agents come in interaction, it is also useful to chaxacterize the dynamical processes that lead to their self-organization. A set of ergodic invariants is identified for this purpose, which is computed in several examples, namely a Bernoulli network with either global or neaxest-neighbor coupling, a generalized Bak-Sneppen model and a continuous minority model.
Authors: | Mendes, Rui Vilela |
---|---|
Institutions: | ISEG - School of Economics and Management, Department of Economics, University of Lisbon |
Saved in:
Saved in favorites
Similar items by person
-
Innovation Success and Structural Change: An Abstract Agent Based Study
Araújo, Tanya, (2007)
-
A Data-Reconstructed Fractional Volatility Model
Mendes, Rui Vilela, (2008)
-
A Data-Reconstructed Fractional Volatility Model
Mendes, Rui Vilela, (2008)
- More ...