Self-Organization in Space and Induced by Fluctuations

Physics – Condensed Matter – Statistical Mechanics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Paper invited by the International Journal of Chaos Theory and Applications. For related work see http://www.helbing.org/ and

Scientific paper

We present a simple discrete model for the non-linear spatial interaction of different kinds of ``subpopulations'' composed of identical moving entities like particles, bacteria, individuals, etc. The model allows to mimic a variety of self-organized agglomeration and segregation phenomena. By relating it to game-theoretical ideas, it can be applied not only to attractive and repulsive interactions in physical and chemical systems, but also to the much richer combinations of positive and negative interactions found in biological and socio-economic systems. Apart from investigating symmetric interactions related to a continuous increase of the ``overall success'' within the system (``self-optimization''), we will focus on cases, where fluctuations further or induce self-organization, even though the initial conditions and the interactions are assumed homogeneous in space (translation invariant).

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

Self-Organization in Space and Induced by Fluctuations 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 Self-Organization in Space and Induced by Fluctuations, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Self-Organization in Space and Induced by Fluctuations will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-305203

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