Complexity 9 (2):19-33 (2003)

Abstract
This paper presents the architecture and initial feasibility results of a proto-type communication network that utilizes genetic programming to evolve services and protocols as part of network operation. The network evolves responses to environmental conditions in a manner that could not be preprogrammed within legacy network nodes a priori. A priori in this case means before network operation has begun. Genetic material is exchanged, loaded, and run dynamically within an active network. The transfer and execution of code in support of the evolution of network protocols and services would not be possible without the active network environment. Rapid generation of network service code occurs via a genetic programming paradigm. Complexity and Algorithmic Information Theory play a key role in understanding and guiding code evolution within the network
Keywords Kolmogorov complexity  active networks  genetic programming  algorithmic information theory  self‐healing networks  complexity theory
Categories No categories specified
(categorize this paper)
DOI 10.1002/cplx.20002
Options
Edit this record
Mark as duplicate
Export citation
Find it on Scholar
Request removal from index
Revision history

Download options

PhilArchive copy


Upload a copy of this paper     Check publisher's policy     Papers currently archived: 53,666
Through your library

References found in this work BETA

Add more references

Citations of this work BETA

Add more citations

Similar books and articles

Complexity and Sustainability.Terry B. Porter - 2010 - Proceedings of the International Association for Business and Society 21:39-50.
Kolmogorov Complexity for Possibly Infinite Computations.Verónica Becher & Santiago Figueira - 2005 - Journal of Logic, Language and Information 14 (2):133-148.

Analytics

Added to PP index
2013-11-21

Total views
24 ( #416,018 of 2,349,374 )

Recent downloads (6 months)
2 ( #330,956 of 2,349,374 )

How can I increase my downloads?

Downloads

My notes