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Please use this identifier to cite or link to this item: http://nbn-resolving.de/urn:nbn:de:hebis:34-2009010925609

Titel: Applicability of Emergence Engineering to Distributed Systems Scenarios
Autor(en): Zapf, MichaelWeise, Thomas
Klassifikation (DDC): 004 - Informatik (Data processing Computer science)
Issue Date: 9-Jan-2009
Serie/Report Nr.: Kasseler Informatikschriften2008, 5
Zusammenfassung: Genetic Programming can be effectively used to create emergent behavior for a group of autonomous agents. In the process we call Offline Emergence Engineering, the behavior is at first bred in a Genetic Programming environment and then deployed to the agents in the real environment. In this article we shortly describe our approach, introduce an extended behavioral rule syntax, and discuss the impact of the expressiveness of the behavioral description to the generation success, using two scenarios in comparison: the election problem and the distributed critical section problem. We evaluate the results, formulating criteria for the applicability of our approach.
URI: urn:nbn:de:hebis:34-2009010925609
Bemerkungen: Presented at EUMAS'08, the Sixth European Workshop on Multi-Agent Systems Bath, UK, December 18-29, 2008.
Appears in Collections:Kasseler Informatikschriften (KIS)

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