Digital Business Ecosystems: Natural Science Paradigms

Computer Science – Neural and Evolutionary Computing

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

8 pages, 5 Figures

Scientific paper

A primary motivation for research in Digital Ecosystems is the desire to exploit the self-organising properties of natural ecosystems. Ecosystems arc thought to be robust, scalable architectures that can automatically solve complex, dynamic problems. However, the biological processes that contribute to these properties have not been made explicit in Digital Ecosystem research. Here, we introduce how biological properties contribute to the self-organising features of natural ecosystems. These properties include populations of evolving agents, a complex dynamic environment, and spatial distributions which generate local interactions. The potential for exploiting these properties in artificial systems is then considered.

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

Digital Business Ecosystems: Natural Science Paradigms 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 Digital Business Ecosystems: Natural Science Paradigms, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Digital Business Ecosystems: Natural Science Paradigms will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-9172

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