Using Localised 'Gossip' to Structure Distributed Learning

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{edmonds:2005:esm,
  author =       "Bruce Edmonds",
  title =        "Using Localised 'Gossip' to Structure Distributed
                 Learning",
  booktitle =    "AISB'05: Proceedings of the Joint Symposium on
                 Socially Inspired Computing (Engineering with Social
                 Metaphors)",
  year =         "2005",
  editor =       "Bruce Edmonds and Nigel Gilbert and 
                 Steven Gustafson and David Hales and Natalio Krasnogor",
  pages =        "127--134",
  address =      "University of Hertfordshire, Hatfield, UK",
  month =        "12-15 " # apr,
  organisation = "AISB",
  note =         "SSAISB 2005 Convention",
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://cfpm.org/sic/edmonds.pdf",
  size =         "8 pages",
  abstract =     "The idea of a memetic spread of solutions through a
                 human culture in parallel to their development is
                 applied as a distributed approach to learning. Local
                 parts of a problem are associated with a set of
                 overlapping localities in a space and solutions are
                 then evolved in those localities. Good solutions are
                 not only crossed with others to search for better
                 solutions but also they propagate across the areas of
                 the problem space where they are relatively successful.
                 Thus the whole population co-evolves solutions with the
                 domains in which they are found to work. This approach
                 is compared to the equivalent global evolutionary
                 computation approach with respect to predicting the
                 occurrence of heart disease in the Cleveland data set.
                 It outperforms a global approach, but the space of
                 attributes within which this evolutionary process
                 occurs can greatly effect the efficiency of the
                 technique.",
  notes =        "see also CPM rep 142 \cite{ulgtsdl}. In the
                 joint-symposium ``Socially Inspired Computing'', in the
                 AISB 2005 Convention ``Social Intelligence and
                 Interaction in Animals, Robots and Agents''. Broken Jan
                 2013 http://aisb2005.feis.herts.ac.uk/

                 Nov 2015 http://cfpm.org/sic/edmonds.pdf differs from
                 proceedings slightly",
}

Genetic Programming entries for Bruce Edmonds

Citations