Discovery of Symbolic, Neuro-Symbolic and Neural Networks with Parallel Distributed Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.2031

@InProceedings{poli:1997:sn-snn,
  author =       "Riccardo Poli",
  title =        "Discovery of Symbolic, Neuro-Symbolic and Neural
                 Networks with Parallel Distributed Genetic
                 Programming",
  booktitle =    "Artificial Neural Nets and Genetic Algorithms:
                 Proceedings of the International Conference,
                 ICANNGA97",
  year =         "1997",
  editor =       "George D. Smith and Nigel C. Steele and 
                 Rudolf F. Albrecht",
  address =      "University of East Anglia, Norwich, UK",
  publisher =    "Springer-Verlag",
  note =         "published in 1998",
  keywords =     "genetic algorithms, genetic programming",
  ISBN =         "3-211-83087-1",
  URL =          "http://cswww.essex.ac.uk/staff/rpoli/papers/Poli-ICANNGA1997.pdf",
  URL =          "http://citeseer.ist.psu.edu/330920.html",
  size =         "4 pages",
  abstract =     "Parallel Distributed Genetic Programming (PDGP) is a
                 new form of genetic programming suitable for the
                 development of parallel programs in which symbolic and
                 neural processing elements can be combined in a free
                 and natural way. This paper describes the
                 representation for programs and the genetic operators
                 on which PDGP is based. Experimental results on the XOR
                 problem are also reported.",
  notes =        "see also \cite{poli:1996:sn-snnTR}
                 http://www.sys.uea.ac.uk/Research/ResGroups/MAG/ICANNGA97/papers_frame.html

                 Here PDGP was applied to the XOR problem with the only
                 objective of exploring the possibilities offered by
                 this representation. No comparison with GP was made.
                 Weights were added to the links between nodes, to allow
                 the evolution of all sorts of things (logic networks,
                 neural nets, neuro-algebraic nets, etc.). Efforts with
                 logic nets were in the region of 2,000-3,000",
}

Genetic Programming entries for Riccardo Poli