Technischer Report
Offline Emergence Engineering For Agent Societies
Abstract
Many examples for emergent behaviors may be observed in self-organizing 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.
Citation
@techreport{urn:nbn:de:hebis:34-2007120719844,
author={Zapf, Michael and Weise, Thomas},
title={Offline Emergence Engineering For Agent Societies},
year={2007}
}
0500 Oax 0501 Text $btxt$2rdacontent 0502 Computermedien $bc$2rdacarrier 1100 2007$n2007 1500 1/eng 2050 ##0##urn:nbn:de:hebis:34-2007120719844 3000 Zapf, Michael 3010 Weise, Thomas 4000 Offline Emergence Engineering For Agent Societies / Zapf, Michael 4030 4060 Online-Ressource 4085 ##0##=u http://nbn-resolving.de/urn:nbn:de:hebis:34-2007120719844=x R 4204 \$dTechnischer Report 4170 Kasseler Informatikschriften ;; 2007, 8 7136 ##0##urn:nbn:de:hebis:34-2007120719844
<resource xsi:schemaLocation="http://datacite.org/schema/kernel-2.2 http://schema.datacite.org/meta/kernel-2.2/metadata.xsd"> 2007-12-07T11:38:07Z 2007-12-07T11:38:07Z 2007-12-07T11:38:07Z urn:nbn:de:hebis:34-2007120719844 http://hdl.handle.net/123456789/2007120719844 396316 bytes application/pdf eng Urheberrechtlich geschützt https://rightsstatements.org/page/InC/1.0/ Agents Multi-Agent Systems AMAS Emergence Emergence Engineering Robust Self-Organization Genetic Programming Rule-based Genetic Programming RBGP Load-Balancing Mobile Agents 004 Offline Emergence Engineering For Agent Societies Technischer Report Many examples for emergent behaviors may be observed in self-organizing 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. open access Zapf, Michael Weise, Thomas Kasseler Informatikschriften ;; 2007, 8 I.2.6 I.5.0 C.2.2 C.2.4 I.2.11 I.6 K.3.2 Kasseler Informatikschriften 2007, 8 </resource>
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:Urheberrechtlich geschützt