M. Zapf, and T. Weise. Kasseler Informatikschriften (KIS), 2007, 8. University of Kassel, FB16, Distributed Systems Group,
Wilhelmshöher Allee 73, 34121 Kassel, Germany, (December 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.
%0 Report
%1 ZW2007DGPFk
%A Zapf, Michael
%A Weise, Thomas
%D 2007
%K algorithms, genetic programming
%N 2007, 8
%T Offline Emergence Engineering For Agent Societies
%U http://www.it-weise.de/documents/files/ZW2007EUMASTR.pdf
%X 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.
@techreport{ZW2007DGPFk,
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.},
added-at = {2008-06-19T17:35:00.000+0200},
author = {Zapf, Michael and Weise, Thomas},
biburl = {https://www.bibsonomy.org/bibtex/202c76879b9505493baacc2c57c0a3368/brazovayeye},
institution = {University of Kassel, FB16, Distributed Systems Group,
Wilhelmsh{\"o}her Allee 73, 34121 Kassel, Germany},
interhash = {df2dab379b986e08f688dec177664abb},
intrahash = {02c76879b9505493baacc2c57c0a3368},
keywords = {algorithms, genetic programming},
language = {en},
month = {December~7,},
notes = {Persistent Identifier:
urn:nbn:de:hebis:34-2007120719844},
number = {2007, 8},
timestamp = {2008-06-19T17:55:08.000+0200},
title = {Offline Emergence Engineering For Agent Societies},
type = {Kasseler Informatikschriften (KIS)},
url = {http://www.it-weise.de/documents/files/ZW2007EUMASTR.pdf},
year = 2007
}