Using GP and Cultural Algorithms to Simulate the Evolution of an Ancient Urban Center

Created by W.Langdon from gp-bibliography.bib Revision:1.4216

  author =       "Robert G. Reynolds and Mostafa Z. Ali and 
                 Patrick Franzel",
  title =        "Using GP and Cultural Algorithms to Simulate the
                 Evolution of an Ancient Urban Center",
  booktitle =    "Genetic Programming Theory and Practice {V}",
  year =         "2007",
  editor =       "Rick L. Riolo and Terence Soule and Bill Worzel",
  series =       "Genetic and Evolutionary Computation",
  chapter =      "15",
  pages =        "261--276",
  address =      "Ann Arbor",
  month =        "17-19" # may,
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-0-387-76308-8",
  DOI =          "doi:10.1007/978-0-387-76308-8_15",
  size =         "15 pages",
  abstract =     "Numerous models of modern and ancient urban landscapes
                 have been proposed. While is of interest to classify
                 examples of early urban centres, it is even more
                 interesting to model their origins. Since these
                 emergent centers can be viewed not only as adaptations
                 to their social and biological environments, but also
                 as a source of further change. Thus, the meaning or
                 semantics of an emergent centre reflects the processes
                 by which it was formed. In the study of one ancient
                 centre, Monte Alban, we have used data mining
                 techniques to extract a large number of decision trees
                 describing its settlement over time. Each decision tree
                 specifies the values for selected attributes that can
                 predict settlement activity in the terraces that
                 comprise the site. However, not all terraces with those
                 properties are occupied in the same way. This can
                 result from economic or social reasons. Also, the
                 variables employed do not always have the semantics
                 needed to make sense of the distinction between
                 occupied and unoccupied terraces. In this paper we
                 focus on the latter reason. Here, GP and CA are used to
                 add semantics to rules to make them more understandable
                 to experts in the area. Future work will examine how GP
                 can be used to integrate social and economic
                 constraints in with the basic decision tree rules.",
  notes =        "part of \cite{Riolo:2007:GPTP} published 2008",
  affiliation =  "Wayne State University 5143 Cass Avenue 431 State Hall
                 Detroit MI 48202 USA",

Genetic Programming entries for Robert G Reynolds Mostafa Z Ali Patrick Franzel