Applicability of Emergence Engineering to Distributed Systems Scenarios

Created by W.Langdon from gp-bibliography.bib Revision:1.4208

  author =       "Michael Zapf and Thomas Weise",
  title =        "Applicability of Emergence Engineering to Distributed
                 Systems Scenarios",
  institution =  "Universitat Kassel, Fachbereich 16:
  year =         "2009",
  type =         "Kasseler Informatikschriften (KIS)",
  number =       "2008, 5",
  address =      "Universitat Kassel, Fachbereich 16:
                 Elektrotechnik/Informatik, Wilhelmshoher Allee 73,
                 34121 Kassel",
  month =        jan,
  keywords =     "genetic algorithms, genetic programming, Agents,
                 Multi-Agent Systems, AMAS, Emergence, Emergence
                 Engineering, OEE, Robust, Self-Organization, Rule-based
                 Genetic Programming, RBGP, Election, Critical Section",
  URL =          "",
  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.",
  notes =        "Presented as \cite{Zapf:2008:eumas}?",

Genetic Programming entries for Michael Zapf Thomas Weise