Applicability of Emergence Engineering to Distributed Systems Scenarios
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- @InProceedings{Zapf:2008:eumas,
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author = "Michael Zapf and Thomas Weise",
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title = "Applicability of Emergence Engineering to Distributed
Systems Scenarios",
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booktitle = "Sixth European Workshop on Multi-Agent Systems,
EUMAS'08",
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year = "2008",
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editor = "Julian Padget",
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address = "University of Bath, Bath, UK",
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month = "18-19 " # dec,
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publisher = "Springer???",
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keywords = "genetic algorithms, genetic programming, Offline
Emergence Engineering, AOSE, Rule-based Genetic
Programming, RBGP, Election, Agents",
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URL = "http://www.it-weise.de/documents/files/ZW2008AOEETDSS.pdf",
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abstract = "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.",
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notes = "http://eumas08.cs.bath.ac.uk/schedule/ See also
\cite{Zapf:2008:KIS5}",
- }
Genetic Programming entries for
Michael Zapf
Thomas Weise
Citations