@techreport{ZW2007DGPFk,
title = {Offline Emergence Engineering For Agent Societies},
author = {Michael Zapf and Thomas Weise},
institution = {University of Kassel, FB16, Distributed Systems Group,
Wilhelmsh{\"o}her Allee 73, 34121 Kassel, Germany},
month = {December~7,},
number = {2007, 8},
type = {Kasseler Informatikschriften (KIS)},
url = {http://www.it-weise.de/documents/files/ZW2007EUMASTR.pdf},
year = {2007},
abstract = {Many examples for emergent behaviours may be observed
in self-organising physical and biological systems
which prove to be robust, stable, and adaptable. Such
behaviors are often based on very simple mechanisms and
rules, but artificially creating them is a challenging
task which does not comply with traditional software
engineering. In this article, we propose a hybrid
approach by combining strategies from Genetic
Programming and agent software engineering, and
demonstrate that this approach effectively yields an
emergent design for given problems.},
language = {en}, notes = {Persistent Identifier:
urn:nbn:de:hebis:34-2007120719844},
keywords = {algorithms, genetic programming }
}
::