Characterizing self-organization and coevolution by ergodic invariants

Nonlinear Sciences – Adaptation and Self-Organizing Systems

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

21 pages Latex, 9 eps figures

Scientific paper

In addition to the emergent complexity of patterns that appears when many agents come in interaction, it is also useful to characterize 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 nearest-neighbor coupling, a generalized Bak-Sneppen model and a continuous minority model.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Characterizing self-organization and coevolution by ergodic invariants does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Characterizing self-organization and coevolution by ergodic invariants, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Characterizing self-organization and coevolution by ergodic invariants will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-87392

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.