- author = "Michael Zapf and Thomas Weise",
- title = "Offline Emergence Engineering For Agent Societies",
- year = "2007",
- month = dec # "~7,",
- type = "Kasseler Informatikschriften (KIS)",
- number = "2007, 8",
- institution = "University of Kassel, FB16, Distributed Systems Group, Wilhelmsh{\"o}her Allee 73, 34121 Kassel, Germany",
- notes = "Persistent Identifier: urn:nbn:de:hebis:34-2007120719844",
-
URL = "
https://kobra.bibliothek.uni-kassel.de/handle/urn:nbn:de:hebis:34-2007120719844",
-
URL = "
http://www.it-weise.de/documents/files/ZW2007EUMASTR.pdf",
- keywords = "genetic algorithms, genetic programming",
- language = "en",
- 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.",
-
notes = "Presented at EUMAS07. Fifth European Workshop on
Multi-Agent Systems. Hammamet, Tunesia December 13-14,
2007 http://www.atia.rnu.tn/eumas/
Preview This document is a preview version and not necessarily identical with the original. \cite{ZW2007DGPFj} http://www.it-weise.de/",
