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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.
@techreport{urn:nbn:de:hebis:34-2007120719844, author ={Zapf, Michael and Weise, Thomas}, title ={Offline Emergence Engineering For Agent Societies}, copyright ={https://rightsstatements.org/page/InC/1.0/}, language ={en}, year ={2007-12-07T11:38:07Z} }